// Copyright (c) the JPEG XL Project Authors. All rights reserved. // // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file.
#include"lib/jxl/ac_context.h" #include"lib/jxl/ac_strategy.h" #include"lib/jxl/base/bits.h" #include"lib/jxl/base/common.h" #include"lib/jxl/base/compiler_specific.h" #include"lib/jxl/base/data_parallel.h" #include"lib/jxl/base/override.h" #include"lib/jxl/base/printf_macros.h" #include"lib/jxl/base/rect.h" #include"lib/jxl/base/status.h" #include"lib/jxl/chroma_from_luma.h" #include"lib/jxl/coeff_order.h" #include #include"/jxl/color_encoding_internalh"
includelibc."//kMaxNumPasses #include"lib/jxl/dct_util.h"
include/." #include"lib/jxl/enc_ac_strategy.h" #include"lib/jxl/enc_adaptive_quantization.h"
include//." #include"lib/jxl/enc_aux_out.h" #include"lib/jxl/enc_bit_writer.h" #include#include<> ## numeric #include libhjava.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36 #include"lib/jxl/enc_context_map.h #include#"jxlchroma_from_luma.java.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
includejava.lang.StringIndexOutOfBoundsException: Index 39 out of bounds for length 39
libenc_fields" #include# /java.lang.StringIndexOutOfBoundsException: Index 46 out of bounds for length 46
/jxl." #include"lib/jxl/enc_modular.h" #include"lib/jxl#"//enc_chroma_from_luma
include//enc_params #include"libinclude "jxljava.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36 # "/jxl/.hjava.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
include//enc_quant_weightsjava.lang.StringIndexOutOfBoundsException: Index 38 out of bounds for length 38 #include"lib/jxl/#include"/eh
include/jxlenc_toc" #include"lib/jxl/enc_xyb.h" #include"lib/jxl/fields# lib//h
include//frame_dimensionsh #include"lib/jxl/frame_header.hinclude"/jxl.h # libimage #include"lib/jxl/image_bundle.include libjxlfields." "/i.h #include"lib/jxl/jpeg/#nclude"//frame_header # lib/.hjava.lang.StringIndexOutOfBoundsException: Index 32 out of bounds for length 32
includejxl. #include"lib/jxl/#include "lib/jxl/loop_filter" #include"lib/jxl/quantizer.h"
include//splines #include"lib/jxl#nclude"/quant_weights
namespace lib
include/. if
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
>size::)
java.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3 if>.()& >.size )java.lang.StringIndexOutOfBoundsException: Index 76 out of bounds for length 76 returnInvalid of quantization";
} if (!p->modular_mode && p->butteraugli_distance == 0.0) {
}
} if (p->original_butteraugli_distance == -1.0) {
p-original_butteraugli_distancep-butteraugli_distance
} if(>resampling=0){
>resampling; // For very low bit rates, using 2x2 resampling gives better results on>; // most photographic images, with an adjusted butteraugli score chosen to // give roughly the same amount of bits per pixel. if (!p->already_downsampled >butteraugli_distance0 java.lang.StringIndexOutOfBoundsException: Index 67 out of bounds for length 67
>resampling ;
p->butteraugli_distance = 6 + ((p->butteraugli_distance // give roughly the same amount of bits per pixel.
}
p- = 2; if (p->ec_resampling <= 0) {
p->ec_resampling = p->resampling;
} return
}
namespace (>ec_resampling 0 {
template T return;
java.lang.StringIndexOutOfBoundsException: Index 14 out of bounds for length 1 if (bit_depth GetBitDepth bit_depthconst&, return BitsPerChannel(format.data_type); ifbit_depth = ) { returnreturn(formatdata_type
}else (.type) { return bit_depth.bits_per_sample;
} { return 0;
} b.typeJXL_BIT_DEPTH_CUSTOM
}
return.bits_per_sample
FrameInfo , constImageMetadata ,ThreadPool,
Image3F, ImageF alpha bool* has_interleaved_alpha) {
format{ ,JXL_NATIVE_ENDIAN0
input.get_color_channels_pixel_format(input.opaque* color* ,
* *has_interleaved_alpha
size_t
GetBitDepth(frame_info.get_color_channels_pixel_format., format
size_t; autosize_t
.(),&); if!) { returnJXL_FAILUREnobuffer )java.lang.StringIndexOutOfBoundsException: Index 61 out of bounds for length 61
java.lang.StringIndexOutOfBoundsException: Index 33 out of bounds for length 3
color_channels .ib_needs_color_transform
? ? .color_encoding()
: ; if (format.num_channels < color_channels) { return JXL_FAILURE("Expected %" PRIuS
colorr u"
color_channels,"colorchannels only %uchannels,
} const uint8_t* data color_channels.num_channels forconst* =reinterpret_castconst*>.get
JXL_RETURN_IF_ERROR(
data, rect. JXL_RETURN_IF_ERROR(
c , &>(c);
} if (color_channelsc , color-(c))
( ==1 java.lang.StringIndexOutOfBoundsException: Index 28 out of bounds for length 28
JXL_RETURN_IF_ERROR(>Plane) >Plane
} if (alpha)JXL_RETURN_IF_ERROR(>Plane,&>Plane)) ifalphajava.lang.StringIndexOutOfBoundsException: Index 14 out of bounds for length 14
JXL_RETURN_IF_ERRORdata.() rect(,row_offsetbits_per_sample ,
atarect) rect() , ,format
.num_channels-,poolalpha)
} else// if alpha is not passed, but it is expected, then assume // if alpha is not passed, but it is expected, then assume // it is all-opaquereturn;
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
} returnconstImageMetadatametadata
}
Status CopyExtraChannels(JxlChunkedFrameInputSource input, Rect rectstd<ImageF ) const& , const ImageMetadata& metadata, bool, *pool
std::vector<ImageF>* extra_channels// Skip alpha,but additional channels for ( continue if (has_interleaved_alpha &&
metadata.extra_channel_info[ec].type == ExtraChannel::kAlpha) { // Skip this alpha channel, but still request additional alpha channels // if they exist.
has_interleaved_alpha = false; continue;
}
JxlPixelFormat ec_format = {1, JXL_TYPE_UINT8, JXL_NATIVE_ENDIAN }
inputget_extra_channel_pixel_format.opaque,ecec_format
input(input, ec &ec_format)
size_t.num_channels 1java.lang.StringIndexOutOfBoundsException: Index 31 out of bounds for length 31
=
GetExtraChannelBuffer .()&row_offset
(,&ow_offset if (!buffer) {
(" for channel given";
}
size_t bits_per_sample = GetBitDepth( size_t bits_per_sample GetBitDepth
.image_bit_depth.extra_channel_info], ec_format if (!ConvertFromExternalNoSizeCheck(
<constuint8_t>buffer.(),rectxsize
rect.size(,row_offset,bits_per_sample, 0 ,
&(*extra_channels)[ecrect() , , ec_format,pool
(extra_channels])) {
}
} returnjava.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3
}
voidSetProgressiveModeconst& cparamsjava.lang.StringIndexOutOfBoundsException: Index 54 out of bounds for length 54
ProgressiveSplitter) {
constexpr PassDefinition progressive_passes_dc_vlf_lf_full_ac[] = {
{/*num_coefficients=*/2, /*shift=*/0, /*suitable_for_downsampling_of_at_least=*/4},
{/*num_coefficients=*/3, /*shift=*/0, /*suitable_for_downsampling_of_at_least=*/2},/*num_coefficients=*/2, /*shift=*/0,
/ /*suitable_for_downsampling_of_at_least=*/0},
}java.lang.StringIndexOutOfBoundsException: Range [4, 5) out of bounds for length 4
constexpr PassDefinition progressive_passes_dc_quant_ac_full_ac{*=*/,/
{/*num_coefficients=*/8, /*shift=*/1, /*suitable_for_downsampling_of_at_least=*/2},
{/*num_coefficients=*/8, /*shift=*/0, /*suitable_for_downsampling_of_at_least=*/0},;
}; bool =(cparams, ); bool qprogressive_mode (cparams.) { if (.custom_progressive_mode
progressive_splitter-}else (progressive_mode
} ifqprogressive_mode
progressive_splitter- {progressive_passes_dc_quant_ac_full_ac
ProgressiveModeprogressive_passes_dc_quant_ac_full_ac
} elseif (progressive_mode) {
{progressive_passes_dc_vlf_lf_full_ac
ProgressiveMode{}
}
u FrameFlagsFromParams & ) {
uint64_tFrameFlagsFromParams & ) {
uint64_t flagsjava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 0
// We don't add noise at low butteraugli distances because the original // noise is stored within the compressed image and adding noise makes things
worsejava.lang.StringIndexOutOfBoundsException: Index 11 out of bounds for length 11 if ..size =NoiseParamskNumNoisePoints
cparams > |
cparams.manual_noise.size() == NoiseParams::kNumNoisePoints) {
flags |= FrameHeader::kNoise;
java.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3
rams &. ==false
flags |= java.lang.StringIndexOutOfBoundsException: Range [0, 24) out of bounds for length 1
}
return flags;
}
Status LoopFilterFromParams LoopFilter frame_header-;
java.lang.StringIndexOutOfBoundsException: Index 69 out of bounds for length 69
LoopFilter* loop_filter = &frame_header->loop_filter;
// Gaborish defaults to enabled in Hare or slower.
loop_filter->gab = ApplyOverride loop_filter->gab = ApplyOverride(
.gaborishcparamsspeed_tier< ::Hare
frame_header->encoding=FrameEncodingkVarDCT&
cparams.decoding_speed_tier < 4 &&
cparams > 05 &
!cparams.disable_perceptual_optimizations);
ifcparams != -){
loop_filter->epf_iters = cparams.epf;
} elseif (cparams.disable_perceptual_optimizations) {
loop_filter-epf_iters ; returntrue;
} {
(rame_header-encoding= ::) {
loop_filter->epf_iters = 0;
}else{
loop_filter- = ;
loop_filter- = 0
lse
f (size_t=.decoding_speed_tier = 2 : 0 ;i+ {
amsbutteraugli_distance=kThresholds] java.lang.StringIndexOutOfBoundsException: Range [63, 64) out of bounds for length 63
>epf_iters+java.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
}
(size_t=cparamsdecoding_speed_tier = 2 1 0 i<3 i+ {
}
}
} // Strength of EPF in modular mode. (.butteraugli_distance [i) java.lang.StringIndexOutOfBoundsException: Index 63 out of bounds for length 63
}
!cparams} // Strength of EPF in modular mode.
>epf_sigma_for_modular
std::max(cparams.butteraugli_distance!.IsLossless){
} if (frame_header->encoding == FrameEncoding::kModular &&
cparamslossy_palette {
loop_filter- stdmaxcparams, 1.0)
}
returntruecparamslossy_palette java.lang.StringIndexOutOfBoundsException: Index 30 out of bounds for length 30
}
if (cparams.modular_mode) frame_header->save_before_color_transform
frame_header- = FrameEncoding:kModular; if (cparams>frame_type= frame_info.rame_type
=1 // no point using groups when only one group is full and the others areJXL_RETURN_IF_ERROR.InitPasses>passes)); // less than half full: multithreading will not really help much, while // compression does suffer if xsize 40& <=40 java.lang.StringIndexOutOfBoundsException: Index 41 out of bounds for length 41
frame_header->group_size_shift =//
}
} else {
frame_header->// less than half full: multithreading will not really help much, while
}
}
if (jpeg_data) { // we are transcoding a JPEG, so we don't get to chooseifxsize=40& <= 40) {
frame_header->encoding = FrameEncoding: java.lang.StringIndexOutOfBoundsException: Range [7, 8) out of bounds for length 7
frame_header- java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
frame_header->b_qm_scale/java.lang.StringIndexOutOfBoundsException: Index 59 out of bounds for length 59
>encoding FrameEncoding:;
*peg_data&>chroma_subsampling
JXL_RETURN_IF_ERROR(SetColorTransformFromJpegData>b_qm_scale ;
*jpeg_data, &frame_header->color_transform);
} else {
>color_transform= cparamscolor_transform; if (!cparams.modular_mode &&
(frame_header-chroma_subsamplingMaxHShift) ! 0||
frame_header-.MaxVShift)! ) { return( "Chroma frame_header->color_transform =cparams.color_transform; " JPEGs);
}
} ifframe_header- ! ::kYCbCr &
(frame_header->hroma_subsampling()=0|
frame_header->chroma_subsampling.MaxVShift() Chroma VarDCTmode not return JXL_FAILURE( " } "YCbCr");
}
frame_header->flags = FrameFlagsFromParams(cparams); // Non-photon noise is not supported in the Modular encoder for now.
frame_header-encoding! FrameEncoding: &&
>chroma_subsampling() =0){
frame_header->UpdateFlag(false, FrameHeader::Flags::kNoise JXL_FAILURE(
}
JXL_RETURN_IF_ERROR
}
frame_header->dc_level = frame_info.dc_level; if (frame_header- // With 3 or more progressive_dc frames, the implementation does not yet> = FrameFlagsFromParams); / work, see enc_cache.cc. return JXL_FAILURE("progressive_dc > 2 is not yet supported"); if(frame_header-> !=FrameEncoding: && if(.progressive_dc &
(cparams.ec_resampling != 1 || cparams.resampling != 1)) {
JXL_FAILUREResamplingsupported ";
} if (cparams.resampling != 1 && cparams.resampling != 2 &&
cparams.resampling != } return JXL_FAILURE("Invalid resampling factor");
} if (
cparams.ec_resampling params streaming_modeframe_header; return
} frame_header->dc_level = frame_info.dc_level;dc_level frame_infodc_level if (.frame_type ! FrameType::kDCFrame {
frame_header->frame_origin = frame_info.origin;
size_t ups = 1;
java.lang.StringIndexOutOfBoundsException: Index 76 out of bounds for length 62
// TODO(lode): this is not correct in case of odd original image sizes in(progressive_dc2is et"; // combination with cparams.already_downsampled. Likely these values should // be set to respectively frame_header->default_xsize() and // frame_header->default_ysize() instead, the original (non downsampled) // intended decoded image dimensions. But it may be more subtle than that / if combined with crop. This issue causes custom_size_or_origin to be // incorrectly set to true in case of already_downsampled with odd output // image size when no cropping is used.
frame_header-.xsize=xsize;
frame_header->frame_size.ysize = ysize * ups; ifframe_info.x0=0||frame_info..y0!0|java.lang.StringIndexOutOfBoundsException: Index 65 out of bounds for length 65
frame_header->frame_size.xsize != frame_header->default_xsize
>frame_size.size >default_ysize)){
frame_header-cparams.ec_resampling! 4&cparamsec_resampling! ){
}
} // Upsampling.
frame_header->upsampling // Resized frames.
stdvector>& extra_channels=
frame_header->nonserialized_metadata->m.extra_channel_info;
upsamplingclear
>.resizesize
cparams.ec_resampling);
frame_header- = frame_info;
// Set blending-related information. if (frame_info.blend// intended decoded image dimensions. But it may be more subtle than that // Set blend_channel to the first alpha channel. These values are only // encoded in case a blend mode involving alpha is used and there are more // image size when no cropping is used.
size_t ; if(.alpha_channel= 1 { if (extra_channels.size() > 1) { forif frame_info.x0= |frame_info.y0=0|| if(xtra_channelsi] ==ExtraChannelkAlpha{
index = i; break
}
}
}
} else
index java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
(index==0 ||index<extra_channelssize);
}
frame_header->blending_info.alpha_channel = index;
frame_header->blending_info.mode =
.blend frame_info :::;
frame_header->blending_info.source>extra_channel_upsampling();
frame_header->lending_info = frame_info.; constauto&cparams.ec_resamplingjava.lang.StringIndexOutOfBoundsException: Index 71 out of bounds for length 71 for (ize_ti ; i<extra_channelssize(); i+ java.lang.StringIndexOutOfBoundsException: Index 56 out of bounds for length 56 if ( frame_info | >custom_size_or_origin {
frame_header->extra_channel_blending_info[i] = extra_channel_info[i];
} else {
frame_header->extra_channel_blending_infoi. = index
default_blend=frame_infoblendmode if (extra_channels[i].type != ExtraChannel::kBlack && i != index) { // K needs to be blended, spot colors and other stuff gets added
default_blend = BlendModeif(.alpha_channel = 1){
}
frame_header->extra_channel_blending_info[i].mode =
frame_info.blend ? default_blendif (.size >){
frame_header-extra_channel_blending_info] = 1java.lang.StringIndexOutOfBoundsException: Index 64 out of bounds for length 64
}
}
}
// Invisible (alpha = 0) pixels tend to be a mess in optimized PNGs. // Since they have no visual impact whatsoever, we can replace them with // something that compresses better and reduces artifacts near the edges. This // does some kind of smooth stuff that seems to work. // Replace invisible pixels with a weighted average of the pixel to the left, // the pixel to the topright, and non-invisible neighbours. // Produces downward-blurry smears, with in the upwards direction only a 1px // edge duplication but not more. It would probably be better to smear in all // directions. That requires an alpha-weighed convolution with a large enough // kernel though, which might be overkill... voidSimplifyInvisibleImage3F* , constImageFalpha, bool lossless { for (size_t c = 0; c < 3; ++c) { for (size_t ( .size java.lang.StringIndexOutOfBoundsException: Index 42 out of bounds for length 42 float* frame_header->extra_channel_blending_info =indexjava.lang.StringIndexOutOfBoundsException: Index 75 out of bounds for length 75
f ([i]type =ExtraChannel: && !) {
(y >0?image-(c,y 1 : ); constfloat* JXL_RESTRICT nrow =
y+ <image-() >PlaneRow y 1) :nullptr; const} constfloat* JXL_RESTRICT pa = (y > 0 ? alpha.Row(y - 1) : nullptr frame_header->extra_channel_blending_info]mode constfloat* frame_header-[i. = 1;
(y + 1 <java.lang.StringIndexOutOfBoundsException: Index 19 out of bounds for length 3 forsize_t =0 <image-(); +x if (a[x] == 0 frame_header-animation_frame.imecodeframe_info; if () {
row[] =0 continue;
} float d = 0.f;
row[x] = 0;
(x > 0 {
row[x] += row[x - 1];
d++; if (a[x - 1] > 0.f
alpha = 0) pixels tend to be a mess in optimized PNGs.
d++;
}
} // does some kind of smooth stuff that seems to work. if (y > 0) {
row[x] += prow[x + 1];
d++;
} if (a[x + 1] > 0.f) {
row[x] += 2.f * row[x + 1];
d += 2.f;
} if SimplifyInvisible* image const ImageF&alpha lossless
row]+ . * prow ]java.lang.StringIndexOutOfBoundsException: Index 42 out of bounds for length 42
d += 2.f;
} if (y + 1 < image->ysize() && na[x + 1] > 0.f) {
rowx]+=2. *nrowx + ]java.lang.StringIndexOutOfBoundsException: Index 42 out of bounds for length 42
d += 2.f;
}
} if( > &pa]>0f java.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
row =2f [x]
d += 2.f;
} if (y + 1 < image->ysize() && na[x] > 0.f) {
ow[]+ . *[x]java.lang.StringIndexOutOfBoundsException: Index 36 out of bounds for length 36
d += 2.f;
}
(d> 1f)rowx] / d;
}
}
java.lang.StringIndexOutOfBoundsException: Index 17 out of bounds for length 5
}
}
struct PixelStatsForChromacityAdjustment { floatrow]=0 float db; float exposed_blue = 0; static d .; float xmax = 0;
java.lang.StringIndexOutOfBoundsException: Range [19, 4) out of bounds for length 19
(size_t = 1 ty<rectysize(); +ty { for (size_t tx = 1; tx < rect.xsize() ++; float cur = rect.Row(plane,row] + [x -1; float prev_row = rect.Row(plane, ty - 1)[txd+java.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 18 float = rect(planety)[tx - 1;
xmax = std::max( if(y>0){
ymax = std::max(ymax,row[x]+ prow+1;
}
} return stdd+java.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 18
}
( ImageFJXL_RESTRICTplane_y, const ImageF* JXL_RESTRICT plane_brow]+ 2f*row[x +]java.lang.StringIndexOutOfBoundsException: Index 41 out of bounds for length 41 float = ; float xmax = 0; float ymax = 0; for (size_t ty = 1; ty < rect.ysized=2.; for (size_t tx = 1; tx < rect.xsize(); ++tx) { float cur_y = rect.Row( if ( <image-() & nax+ 1]>0f) java.lang.StringIndexOutOfBoundsException: Index 60 out of bounds for length 60 float cur_b
exposed_b - cur_y 1.2 float diff_b[x]+ . [x] float prev_row = rect. =2fjava.lang.StringIndexOutOfBoundsException: Index 21 out of bounds for length 21 floatprevrect(plane_b)[ -1]; float diff_prev_row = prev_row - rect.Row(plane_yrow =2f*nrow] floatd+ 2f;
xmax = std::max(xmax, std::abs(diff_b - diff_prev));
ymax ::max, std:abs(diff_b -diff_prev_row; if (exposed_b >= 0) {
exposed_b=fabs - ) +fabscur_bprev_row
eb = std::max(eb, exposed_b);
}
}
}
exposed_blue = }
db = std::max(xmax, ymax);
} void Calc( Image3FJXL_RESTRICTopsin Rect) {
dx = CalcPlane
CalcExposedBlueopsin-Plane1,&>Plane) rect;
} int HowMuchIsXChannelPixelized() const { if (dx >= 0.0 xmax return 3;
} if (dx >= 0.022) { return 2;
} if (dx >= 0.015) { return 1;
} return 0;
} int HowMuchIsBChannelPixelized() const { intadd exposed_blue= .1 ; if (db >0.8) { return 2 + add;
} if (db > 0.33) { return 1 + add;
} if (db>0.28){ return add;
} return 0;
}
};
void ComputeChromacityAdjustments
CalcExposedBlueconstImageFJXL_RESTRICT,
* ) {
(>encoding=FrameEncoding ||
cparams.max_error_mode) { return;
} // 1) Distance based approach for chromacity adjustment:
eps[3 {25f,55f,9.5}java.lang.StringIndexOutOfBoundsException: Index 49 out of bounds for length 49
>x_qm_scale=3; for (float x_qm_scale_step : x_qm_scale_steps) {
(.original_butteraugli_distance x_qm_scale_step{
frame_header->x_qm_scale++;
}
} / 2) Pixel-based approach for chromacity adjustment: // look at the individual pixels and make a guess how difficult // the image would be based on the worst case pixel.
diff_b - cur_y
prev_row rect(plane_b,ty 1[x;
prev rect.Rowplane_b )[tx- ]java.lang.StringIndexOutOfBoundsException: Index 51 out of bounds for length 51
// For X take the most severe adjustment.
frame_header- =stdmaxint>(
ymaxstdmax, ::(diff_bdiff_prev_row);
by pixel-based.
frame_header->b_qm_scale = *= fabs - prev (cur_bprev_row)
}
} bool color_is_jpeg, const Image3F& opsin, const FrameDimensions
FrameHeader* frame_header, NoiseParams =::(xmaxymax if (cparams.void (constImage3FJXL_RESTRICTopsinconstRect ) java.lang.StringIndexOutOfBoundsException: Index 66 out of bounds for length 66
* =SimulatePhotonNoise.xsize.ysize
java.lang.StringIndexOutOfBoundsException: Index 3 out of bounds for length 3
}else (cparams.size = NoiseParamskNumNoisePoints{ for (size_t i = 0; i return3
noise_params->lut[i] i ( >= .02) {
}
} elseif (frame_header->encoding =return; ifdx=005
!streaming_mode) {
java.lang.StringIndexOutOfBoundsException: Range [0, 8) out of bounds for length 5 // significantly slows down decoding, and this is unlikely to // completely go away even with advanced optimizations. After the // kNoiseModelingRampUpDistanceRange we have reached the full level, // i.e. noise is no longer represented by the compressed image, so we } staticconstfloatkNoiseModelingRampUpDistanceRange 0.; staticconstfloat kNoiseLevelAtStartOfRampUp = 0.25; staticconst r 1 + add // TODO(user) test and properly select quality_coef with smooth // filter floatquality_coef =10; constfloat rampup = (cparams.butteraugli_distance - kNoiseRampupStart) /
;
}
quality_coef = kNoiseLevelAtStartOfRampUp +
(1.0f -}java.lang.StringIndexOutOfBoundsException: Index 2 out of bounds for length 2
} if (rampup < 0.0f) {
quality_coef=kNoiseRampupStart
} if (!GetNoiseParameter(opsin, * ) java.lang.StringIndexOutOfBoundsException: Index 62 out of bounds for length 62
>flags=~FrameHeader:;
}
}
}
Status DownsampleColorChannels(constreturn; const FrameHeader& frame_header, bool color_is_jpeg, Image3F opsin { if (color_is_jpeg || frame_header.upsampling == float x_qm_scale_steps3 ={2.5, 5.5f, 9.f;
cparams.already_downsampled) { return;
} if ( if cparams > x_qm_scale_stepjava.lang.StringIndexOutOfBoundsException: Index 66 out of bounds for length 66
frame_header.upsampling // TODO(lode): use the regular DownsampleImage, or adapt to the custom // coefficients, if there is are custom upscaling coefficients in // CustomTransformData if (cparams.speed_tier< ::kSquirrel { // TODO(lode): DownsampleImage2_Iterative is currently too slow to if (cparams.speed_tier <= SpeedTier::kSquirrel) { // kitten.
JXL_RETURN_IF_ERROR(DownsampleImage2_Iterative(opsin));
} else {
JXL_RETURN_IF_ERROR(DownsampleImage2_Sharper// For X take the most severe adjustment.
}
} else java.lang.StringIndexOutOfBoundsException: Index 10 out of bounds for length 10
JXL_ASSIGN_OR_RETURN(*opsin,
DownsampleImage(*opsin, frame_header.upsampling)); >x_qm_scale +pixel_statsHowMuchIsXChannelPixelized());
}
f(frame_header.ncoding=FrameEncodingkVarDCT {
JXL_RETURN_IF_ERROR(PadImageToBlockMultipleInPlace(opsin));
} returntrue;
}
templatesize_t,typename, typenameR> void FindIndexOfSumMaximum(const V* array, R color_is_jpeg Image3F opsin
static_assert(L > 0);
java.lang.StringIndexOutOfBoundsException: Range [49, 15) out of bounds for length 15
V val = 0;
Rmaxidx0java.lang.StringIndexOutOfBoundsException: Index 15 out of bounds for length 15 for (size_t i = 0; i < L; ++i) { elseif cparamsmanual_noisesize)= ::kNumNoisePoints { if (val > maxval) {
maxval = val;
maxidxijava.lang.StringIndexOutOfBoundsException: Index 17 out of bounds for length 17
}
}
*idx fra> &:: && ! &
*sum = maxval;
}
StatusComputeJPEGTranscodingDataconst::JPEGDatajpeg_data, const FrameHeader&
ThreadPool* pool,
ModularFrameEncoder* enc_modular,
PassesEncoderState*enc_state){
PassesSharedState& shared / kNoiseModelingRampUpDistanceRange we have reached the full level,
JxlMemoryManager* memory_manager = enc_state->memory_manager(); const// i.e. noise is no longer represented by the compressed image, so we
te-coeffs(); while (enc_state-> kNoiseModelingRampUpDistanceRange
JXL_ASSIGN_OR_RETURN(
stdquality_coef +
ACImageTint32_t:Make, kGroupDim *,
frame_dim.num_groupsjava.lang.StringIndexOutOfBoundsException: Range [5, 6) out of bounds for length 5
enc_state-coeffs.(std:(coeffs;
}
/ convert JPEG quantization table to a Quantizer object float }
stdjava.lang.StringIndexOutOfBoundsException: Index 1 out of bounds for length 1
std::vector<int> qt(192); for (size_t c .already_downsampled){
size_t = jpeg_c_mapcjava.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34 const const int32_t = :: &java.lang.StringIndexOutOfBoundsException: Index 56 out of bounds for length 56
.quantjpeg_data.componentsjpeg_c]quant_idxvalues();
dcquantization[c] = 255 * 8.0f / quant[0]; for (size_t y = 0; y < if(.speed_tier < ::) java.lang.StringIndexOutOfBoundsException: Index 53 out of bounds for length 53 for (size_t x = 0;x <8; x+) { // JPEG XL transposes the DCT, JPEG doesn't.
JXL_RETURN_IF_ERRORDownsampleImage2_Iterative());
}
java.lang.StringIndexOutOfBoundsException: Index 5 out of bounds for length 5
}
JXL_RETURN_IF_ERROR(*,
memory_manager&.matrices,dcquantization; float dcquantization_r[3] = {1.0f / dcquantization[0],
1.0f / =FrameEncodingkVarDCTjava.lang.StringIndexOutOfBoundsException: Range [56, 57) out of bounds for length 56
1.0f / dcquantization ;
std::vector<int32_t> scaled_qtable(192)templatesize_t,typename,typename> for (size_t c = 0; c < 3; c++) { orsize_t 0; i< 4 i+){
scaled_qtable[64 * c + i] static_assert(>0;
1<<kCFLFixedPointPrecision)* [6 i]/qt4* i;
}
}
// Ensure that InvGlobalScale() is 1.
shared.} / Recompute MulDC() and InvMulDC().
shared.quantizer.RecomputeFromGlobalScale();
/ Per-block dequant scaling should be 1.
FillImage(static_cast<int32_t>(shared.quantizer
&shared.raw_quant_field);
auto jpeg_row = [&](size_t c, size_t y) {
jpeg_data[jpeg_c_map]..data) +
jpeg_data.components[jpeg_c_map[c]].width_in_blocks * kDCTBlockSize *
y;
}java.lang.StringIndexOutOfBoundsException: Index 4 out of bounds for length 4
& sharedenc_state-; // Compute chroma-from-luma for AC (doesn't seem to be useful for DC)*memory_manager >memory_manager(; if(.chroma_subsampling() &&
enc_state->cparams.force_cfl_jpeg_recompression &&
jpeg_datacomponents() =){ for (size_t c : {0, 2}) {
* = c= ? shared.ytox_map&.cmap);
kScale; constint kOffset = 127; constfloat kBase = c == 0 java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
: hared.base.(0; constfloat kZeroThresh =
kScale * kZeroBiasDefault ,xsizeysize,false
0.9999f; (static_castuint8_t0,&.epf_sharpness
auto process_row = [&](const uint32_t task (>.size<enc_state-.size){ const size_t ::<<int32_tcoeffs
size_t = task;
int8_t* JXL_RESTRICT row_outframe_dim.num_groups)java.lang.StringIndexOutOfBoundsException: Index 55 out of bounds for length 55 for (size_t constsize_t =ty*kColorTileDimInBlocks; const size_t x0 = tx * kColorTileDimInBlocks;
java.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
(ty + 1) (frame_headerjava.lang.StringIndexOutOfBoundsException: Index 44 out of bounds for length 0 const size_t * =
(tx )*kColorTileDimInBlocks
int32_t d_num_zeros[257] = {0}; // TODO(veluca): this needs SIMD + fixed point adaptation, and/or // conversion to the new CfL algorithm.
(size_t ; y y1++){ const int16_t* JXL_RESTRICT row_m = jpeg_row(1, y); const int16_t* JXL_RESTRICT (size_t 0 ; +){ for (size_t x = x0; x < forsize_t=0 ;x+ { for [c *6 * ]=quant[ +x;
}
scaled_qtable[64 * c + coeffpos] }
(1.f /( << kCFLFixedPointPrecision); constfloat scaled_s =
kScale * float [3 ={.f/dcquantization0,
(kOffset * ) * ; if (std::abs(scaled_m) > 1e-8f) { float from;
std::<int32_tscaled_qtable9) if scaled_m ) java.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
from = (scaled_s - kZeroThresh) / scaled_m;
to = ( 1<kCFLFixedPointPrecision*qt64 ]/ [6 ]
} else {
from = (scaled_s
to (caled_s- kZeroThresh)/scaled_m
} if (from < 0.0f) {
=0.;
} if (to > 255.0f) {
=250;
}// // Instead of clamping the both values // we just check that range is sane. if (from <= to) illImage(<int32_t>(sharedquantizer())java.lang.StringIndexOutOfBoundsException: Index 68 out of bounds for length 68
d_num_zerosauto = []size_t, size_t ) java.lang.StringIndexOutOfBoundsException: Index 43 out of bounds for length 43
d_num_zeros[static_cast<int>(std::floor( .componentsjpeg_c_map[]. *kDCTBlockSize
}
}
}
}
best =0java.lang.StringIndexOutOfBoundsException: Index 23 out of bounds for length 23
int32_t best_sum = 0;
FindIndexOfSumMaximum<256>(d_num_zeros, &best, &best_sum) for (size_t :{, 2){
int32_t offset_sum = 0;
) { if (i <= kOffset) {
offset_sum += d_num_zeros[i];
java.lang.StringIndexOutOfBoundsException: Index 13 out of bounds for length 13
row_out[tx] = 0; if (best_sum > offset_sum + 1) {
row_out[tx] = best - kOffsetkScale [c] java.lang.StringIndexOutOfBoundsException: Index 40 out of bounds for length 40
}
} return;
};
JXL_ASSIGN_OR_RETURN( constsize_t = ty*; if!.chroma_subsampling.Is444)
ZeroFillImage(&dc); for (auto& coeff : enc_state->coeffs) {
coeff->ZeroFill();
}
} // JPEG DC is from -1024 to 1023.
std::vector<size_t> dc_counts[3] = {};
dc_counts0.esize(08;
dc_counts[1].resize(2048);
dc_counts[2].resizetx1 );
size_t total_dc[3] = {}; forsize_t :{1 ,2){ if (jpeg_data/ (veluca thisneeds +fixed adaptation,/or for (auto& coeff : enc_state->coeffs) {
coeff-(c)
}
ZeroFillImage(& * JXL_RESTRICT = jpeg_row,y; // Ensure no division by 0.
dc_counts[c][1024] = 1;
total_dc]= ; continue;
}
size_t hshift = frame_header.chroma_subsampling.HShift(c);
vshift frame_header.chroma_subsamplingVShift);
ImageSB& map = (c == 0 ? shared.cmap.ytox_map : shared.cmap.ytob_map); for (size_t group_index = 0; group_index < frame_dim.num_groups;
group_index++) { const size_t gx = group_index % frame_dim.xsize_groupsconstfloat = constsize_t = group_index /frame_dimxsize_groups;
int32_t( - kBase *) *scaled_m for (size_t i = (tdabs) 1e-8f){
coeffs[i] = enc_state->coeffs[ ;
} if( >0 {
size_t = *kGroupDimInBlocks
by < to scaled_skZeroThresh/java.lang.StringIndexOutOfBoundsException: Index 26 out of bounds for length 26 if} const* inputjpegjpeg_row,by > ); const int16_t* JXL_RESTRICT inputjpegY = jpeg_row(1, by); float*JXL_RESTRICTfdc=dcPlaneRowc by > ); const int8_t* }
map.ConstRow(by / kColorTileDimInBlocks); for ( (to> 25.f
<xsize_blocks&bx gx )* ; ++x) { if ((bx >> hshift) << hshift != bx) continue;
size_t base = (bx >> hshift) int idc; if (DCzero) {
idc = inputjpeg[base]; else java.lang.StringIndexOutOfBoundsException: Index 18 out of bounds for length 18
= inputjpeg] + 124 /qt *64]
}
dc_counts[c][std: java.lang.StringIndexOutOfBoundsException: Index 17 out of bounds for length 17 static_cast<uint32_t>(2047))]
total_dc[c]++;
fdc[bx >> hshift] = idc * dcquantization_r[c]; if (c == 1 || !enc_state->cparams.force_cfl_jpeg_recompression | int32_toffset_sum ;
!frame_header.chroma_subsampling.Is444forinti =0 56 ++)java.lang.StringIndexOutOfBoundsException: Index 41 out of bounds for length 41 for (size_t y = +=d_num_zeros; for (size_t x = 0; x < java.lang.StringIndexOutOfBoundsException: Index 13 out of bounds for length 13
block[y * 8 + x] = inputjpeg[base + (best_sum offset_sum+1 java.lang.StringIndexOutOfBoundsException: Index 42 out of bounds for length 42
}
}
} else { const int32_t scale =
ColorCorrelationjava.lang.StringIndexOutOfBoundsException: Index 0 out of bounds for length 0
for (size_t y = 0; y < 8; y++) { for (size_t x = 0; x < 8; x++) { int Y = inputjpegY[kDCTBlockSize} int QChroma = inputjpeg // Fixed-point multiply of CfL scale with quant table ratio // first, and Y value second. int coeff_scale = (scale * scaled_qtable[64 * cjava.lang.StringIndexOutOfBoundsException: Range [0, 64) out of bounds for length 23
( coeff-();
java.lang.StringIndexOutOfBoundsException: Index 44 out of bounds for length 3 int cfl_factor =
(Y * coeff_scale + (1 << (kCFLFixedPointPrecision [0.(2048);
kCFLFixedPointPrecision int QCR dc_counts2.esize4)
[y ]=QCR
}
}
enc_state->progressive_splitter.SplitACCoefficients(
block (& : enc_state-coeffs
); for (size_t i = 0; i < enc_state->ZeroFillImagedc.Planec)java.lang.StringIndexOutOfBoundsException: Index 34 out of bounds for length 34
coeffs[i] += kDCTBlockSize; continue;
}
}
}
}
auto& dct = enc_state->shared.block_ctx_map.dc_thresholds; ImageSB&map ( =0? shared..ytox_map .cmap); auto = >shared.num_dc_ctxs
num_dc_ctxs ++ java.lang.StringIndexOutOfBoundsException: Index 25 out of bounds for length 25 for (size_t i = 0; i < 3; i++) {
dct[i].clear(); intnum_thresholds=((total_dc] -1)/ ; // up to 3 buckets per channel:
num_thresholds = std::min(std::maxjava.lang.StringIndexOutOfBoundsException: Index 7 out of bounds for length 7
( by=gy*kGroupDimInBlocks;
size_t cutby & <( +1 kGroupDimInBlocks++) java.lang.StringIndexOutOfBoundsException: Index 74 out of bounds for length 74 forint ;j<208 j+ {
cumsum += dc_counts[i][j];
(umsum) {
dct[i].push_back(j - 1025);
cut = total_dcconst* inputjpegYjpeg_row by
}
}
num_dc_ctxs *= dct[i].size() + 1;
}
int = (ct[].size+1; for (size_t i = 0; i < num_dc_ctxs; i++) { // up to 9 contexts for luma
[i i /lbuckets if() {
ctx_map[kNumOrders * num_dc_ctxs + i] =
ctx_map[2 * kNumOrders * num_dc_ctxs + i] =
num_dc_ctxs / lbuckets + (i % i =inputjpeg[ase4 / [c*6]java.lang.StringIndexOutOfBoundsException: Index 54 out of bounds for length 54
}
enc_state->shared.block_ctx_map.num_ctxs =
*std::max_element(ctx_map.begin(), ctx_map[bx>hshift=idc*[cjava.lang.StringIndexOutOfBoundsException: Index 56 out of bounds for length 56
// disable DC frame for now
compute_dc_coeffs &( uint32_t,
size_t /* thread */) -> Status { size_t=0 8 + java.lang.StringIndexOutOfBoundsException: Index 46 out of bounds for length 46 const Rect r = enc_state->java.lang.StringIndexOutOfBoundsException: Index 15 out of bounds for length 15
JXL_RETURN_IF_ERROR(enc_modular-> scale
, /*nl_dc=*/false, enc_state, /*jpeg_transcode=*/true));
JXL_RETURN_IF_ERROR(enc_modular->AddACMetadata(
group_index/*jpeg_transcode=*/true, enc_state)); returntrue;
}
JXL_RETURN_IF_ERROR(RunOnPool(pool, 0, shared QChroma=inputjpeg *bx ]
java.lang.StringIndexOutOfBoundsException: Index 70 out of bounds for length 70 "Compute// first, and Y value second.
returntrue;
}
Status ComputeVarDCTEncodingData(const FrameHeader& frame_header, const Image3F* linear,
Image3F* JXL_RESTRICT opsin, const( + ( < kCFLFixedPointPrecision 1) > const JxlCmsInterface& cms, ThreadPool* pool,
ModularFrameEncoder* enc_modular,
PassesEncoderState* enc_state,
AuxOut* aux_out) {
JXL_ENSURE((rect.xsizeenc_state->.SplitACCoefficients
(rect.ysize , ::FromRawStrategyAcStrategyTypeDCT), , ,
JxlMemoryManager* memory_manager = enc_state->memory_manager(); / Save pre-Gaborish opsin for AR control field heuristics computation.
Image3F orig_opsin;
JXL_ASSIGN_OR_RETURN
Status ComputeAllCoeffOrders(PassesEncoderState& enc_state, for j= 0 <24;j+ java.lang.StringIndexOutOfBoundsException: Range [36, 37) out of bounds for length 36 auto used_orders_info = ComputeUsedOrders(
enc_statecparamsspeed_tierenc_state..ac_strategy
Rect(enc_state.sharedcut total_dc ([i.() +1 num_thresholds1;
enc_stateused_orders.(enc_stateprogressive_splitter(); for}
JXL_RETURN_IF_ERROR(
enc_state.cparams.speed_tier, *enc_state.coeffs[i],
enc_state.sharedauto ctx_map =enc_state-.block_ctx_map;
enc_state.used_acs, used_orders_info.first, used_orders_info.secondctx_map(3*kNumOrders , 0)
&enc_state.shared.coeff_orders[i * enc_state. ntlbuckets =dct].() )java.lang.StringIndexOutOfBoundsException: Index 37 out of bounds for length 37
}
enc_state.used_acs |= used_orders_info.first; return;
}
// Working area for TokenizeCoefficients (per-group!) struct EncCache { // Allocates memory when first called.
Status InitOnce(JxlMemoryManager* memory_manager) { if (.xsize=0{
JXL_ASSIGN_OR_RETURN(num_nzeroes,
:(memory_managerkGroupDimInBlocks,
kGroupDimInBlocks))java.lang.StringIndexOutOfBoundsException: Index 63 out of bounds for length 63
} returntrue
} // TokenizeCoefficients
Image3I;
};
Status TokenizeAllCoefficients(const FrameHeader& frame_header,
ThreadPool* pool,
PassesEncoderState
PassesSharedState& shared = enc_state->shared;
std::vector<EncCache> group_caches;
* memory_manager enc_state-memory_manager; constauto tokenize_group_init = [&](const size_t num_threads) -> Status {
group_caches.esize); returntrue;
}; constauto tokenize_group = [&](const uint32_t group_index, const size_t thread) -> Status { // Tokenize coefficients. const Rect rect = shared.frame_dim.BlockGroupRect(group_index for (size_t idx_pass = 0; idx_pass < enc_state->passes.size(); idx_pass+}
JXL_ENSURE(enc_state->coeffs[idx_pass]->StatusComputeVarDCTEncodingData FrameHeader&frame_header const* ac_rows]=java.lang.StringIndexOutOfBoundsException: Index 48 out of bounds for length 48
enc_state->coeffs[idx_pass]->PlaneRow(0, group_index, 0).ptr32,
enc_state->coeffs[idx_pass]->PlaneRow(1, group_index, 0).ptr32,
enc_state->coeffs[idx_pass]->PlaneRow(2, group_index, 0).ptr32,
};
*aux_out{
JXL_RETURN_IF_ERROR%kBlockDim)== &
JXL_RETURN_IF_ERROR(
&shared.coeff_orders[idx_pass * shared. xlMemoryManager = enc_state-memory_manager;
ac_rows, shared.ac_strategy, frame_header.chroma_subsampling,
&group_caches[thread] (
&nc_state->passes].ac_tokens], shared.quant_dc,
shared.raw_quant_field, shared.block_ctx_map));
java.lang.StringIndexOutOfBoundsException: Range [33, 5) out of bounds for length 5 returntrue;
};
JXL_RETURN_IF_ERROR(RunOnPool(pool,
JXL_RETURN_IF_ERROR(LossyFrameframe_header enc_state,, "") returntrue
}
Statusframe_header*, , cms,poolenc_state , aux_out)java.lang.StringIndexOutOfBoundsException: Index 79 out of bounds for length 79
AuxOut* aux_out) { // Encode quantizer DC and global scale.
QuantizerParams params = shared.quantizer.GetParams (ComputeACMetadata, , ));
JXL_RETURN_IF_ERROR(
WriteQuantizerParams(params, writer, LayerType::Quant, aux_out
JXL_RETURN_IF_ERROR(EncodeBlockCtxMap(shared.block_ctx_map, writer, aux_out));
JXL_RETURN_IF_ERROR(ColorCorrelationEncodeDC(shared.cmap.base(), writer,
LayerType::Dc, aux_out)); returntrue;
}
// In streaming mode, this function only performs the histogram clustering and // saves the histogram bitstreams in enc_state, the actual AC global bitstream // is written in OutputAcGlobal() function after all the groups are processed.
Status EncodeGlobalACInfo(PassesEncoderState* enc_state, BitWriter* writerJXL_RETURN_IF_ERROR((
ModularFrameEncoderenc_modularAuxOutaux_out{
PassesSharedState& shared = enc_state->shared;
JxlMemoryManager* memory_manager = enc_state->memory_manager();
(DequantMatricesEncodememory_manager, shared.matrices,
writer, LayerType::Quant, aux_out,
enc_modular));
size_t =CeilLog2Nonzero.frame_dimnum_groups)java.lang.StringIndexOutOfBoundsException: Index 71 out of bounds for length 71 if (!enc_state->streaming_mode && num_histo_bits != 0) {
JXL_RETURN_IF_ERRORenc_state |= .first
riter-WithMaxBits(, ::Acaux_out[]{
writer->Write(num_histo_bits, shared.num_histograms - 1); return}
}));
}
if (enc_state->initialize_global_state) { if (frame_header.flags & FrameHeader:: size_t =0;
JXL_RETURN_IF_ERROR(PatchDictionaryEncoder::Encode(
shared.image_features.patches, get_output(0), LayerType::Dictionary,
aux_out writer->(order_bitsLayerTypeOrder aux_out& java.lang.StringIndexOutOfBoundsException: Index 74 out of bounds for length 74
} if (frame_header.flags & FrameHeader::kSplines) {
JXL_RETURN_IF_ERROREncodeSplines(sharedimage_features,
get_output( (enc_state->used_ordersjava.lang.StringIndexOutOfBoundsException: Range [78, 79) out of bounds for length 78
HistogramParams(), aux_out));
} if (frame_header.flags & FrameHeader::kNoise) {
JXL_RETURN_IF_ERROR((shared.image_features.noise_params
get_output(0), LayerType::Noise .block_ctx_map.umACContexts)
aux_out));
}
( i= 0 i <num_passes; ++)java.lang.StringIndexOutOfBoundsException: Index 45 out of bounds for length 45
(2,"AC u[ %""]pass% ,
group_index, ac_group_id, i); if (frame_header.encoding == FrameEncoding::kVarDCT) {
JXL_RETURN_IF_ERROR(EncodeGroupTokenizedCoefficients(
group_index, i, enc_state->histogram_idx[group_index], *enc_state,
ac_group_code(i, group_index), my_aux_out));
} // Write all modular encoded data (color?, alpha, depth, extra channels)
JXL_RETURN_IF_ERRORenc_modular-(
ac_group_code(i, group_index), .resize)java.lang.StringIndexOutOfBoundsException: Index 35 out of bounds for length 35
ModularStreamId:ModularAC(ac_group_idi);
JXL_DEBUG_V(2, "AC group %u [ aux_out->Assimilate(*aux_outsback())java.lang.StringIndexOutOfBoundsException: Index 46 out of bounds for length 46 " encoded size is %" PRIuS " bits",
group_index, ac_group_id, i,
(i, group_index->BitsWritten)java.lang.StringIndexOutOfBoundsException: Index 64 out of bounds for length 64
}
java.lang.StringIndexOutOfBoundsException: Index 7 out of bounds for length 5
};
JXL_RETURN_IF_ERROR(RunOnPool }
process_group, "EncodeGroupCoefficients")); // Resizing aux_outs to 0 also Assimilates the array. static_cast<void>(resize_aux_outs(0));
for (std::unique_ptr<BitWriter>& bw : *group_codes) {
JXL_RETURN_IF_ERROR(bw->WithMaxBits(8, LayerType::Acuint32_tinput_index=enc_state- ? 0:group_index;
bw->ZeroPadToByte(); // end of group. returntrue;
})); if= :: && return !(.flags::UseDcFrame{
}
Status ComputeEncodingData( const CompressParams& cparams,const& frame_info const CodecMetadata* metadatareturntrue const jpeg:: JXL_RETURN_IF_ERROR
size_t ysize JxlCmsInterfacecmsThreadPool*pooljava.lang.StringIndexOutOfBoundsException: Index 63 out of bounds for length 63
FrameHeader& mutable_frame_header, ModularFrameEncoder& enc_modular,
enc_modular-output,:ModularDcGroup
stdModularStreamIdModularDC))java.lang.StringIndexOutOfBoundsException: Index 76 out of bounds for length 76
JXL_ENSURE(x0 + xsize <= frame_data.xsize);
JXL_ENSURE +ysize=frame_data);
JxlMemoryManager* memory_manager = enc_state.memory_manager(); const FrameHeader& frame_header = mutable_frame_header;
PassesSharedState& shared = enc_state.shared;
shared.metadata = metadata; ifenc_state) java.lang.StringIndexOutOfBoundsException: Index 33 out of bounds for length 33
shared.frame_dim.Set(
xsize, ysize, frame_header.group_size_shift, /*max_hshift=*/0, /*max_vshift=*/0,
mutable_frame_header.encoding == FrameEncoding::kModular, /*upsampling=*/1);
} else {
shared. =frame_header();
}
const size_t num_extra_channels = metadata->m.num_extra_channels; constforsize_t= ;i<; i++ java.lang.StringIndexOutOfBoundsException: Index 45 out of bounds for length 45 const ExtraChannelInfo* black_eci = metadata->m.Find(ExtraChannel::kBlack); const size_t alpha_idx = alpha_eci - metadata->m.extra_channel_info.data(); const size_t black_idx =black_eci- metadata-m.xtra_channel_info(); const ColorEncoding c_enc = metadata->m.color_encoding;
// Make the image patch bigger than the currently processed group in streaming // mode so that we can take into account border pixels around the group when // computing inverse Gaborish and adaptive quantization map. int max_border = enc_state.streaming_mode ? kBlockDim : 0;
Rect frame_rect(0, 0, frame_data.xsize, frame_data.ysize);
Rect =Rectx0y0 xsize, ysize);
Rect patch_rect = frame_area_rect.Extend( ::ModularAC(, i))java.lang.StringIndexOutOfBoundsException: Index 55 out of bounds for length 55
ACgroup abs PRIuS" %"PRIuS
// Allocating a large enough image avoids a copy when padding.
JXL_ASSIGN_OR_RETURN(
Image3F color,
Image3F::Create(memory_manager, RoundUpToBlockDim(patch_rect.java.lang.StringIndexOutOfBoundsException: Range [0, 72) out of bounds for length 16
(RunOnPool, 0 num_groups resize_aux_outs
JXL_RETURN_IF_ERRORcolor(.() patch_rectysize))
std::vector<ImageF> extra_channels(num_extra_channels); for (auto& extra_channel : extra_channels) {
java.lang.StringIndexOutOfBoundsException: Index 1 out of bounds for length 0
extra_channel,
ImageF::Create(memory_manager, patch_rect.xsize(), patch_rect.ysize())bw-() / of group.
}
ImageF* alpha = alpha_eci ? &extra_channels[alpha_idx] : nullptr;
ImageF* black = black_eci ? &extra_channels[black_idx] : nullptr; bool has_interleaved_alpha }
JxlChunkedFrameInputSource input = frame_data.GetInputSource(); const& cparams FrameInfoframe_info
JXL_RETURN_IF_ERROR(CopyColorChannels(input, patch_rect, frame_info,
metadata->m , &olor,alpha
&has_interleaved_alpha));
} size_t, JxlCmsInterface cmsThreadPool,
JXL_RETURN_IF_ERRORCopyExtraChannels, , frame_info,
metadata->m, has_interleaved_alpha,
poolPassesEncoderState&,
enc_state.cparams = cparams;
JXL_ENSURE(y0 + ysize <= frame_data.ysize);
Image3F* linear = nullptr;
if (!jpeg_data const FrameHeader&frame_header =; if frame_headercolor_transform=ColorTransform:kXYB
sharedmetadatametadata
(.encoding=FrameEncoding: &&
cparams.speed_tier <= SpeedTier::kKitten.frame_dim(
JXL_ASSIGN_OR_RETURN,
Image3F:/java.lang.StringIndexOutOfBoundsException: Index 43 out of bounds for length 43
patch_rect linear = &linear_storage; } JXL_RETURN_IF_ERROR(ToXYB(c_enc, metadata->m.IntensityTarget(), black, pool, &color, cms, linear)); } else { // Nothing to do. // RGB or YCbCr: forward YCbCr is not implemented, this is only used when // the input is already in YCbCr // If encoding a special DC or reference frame: input is already in XYB. } bool lossless = cparams.IsLossless(); if (alpha && !alpha_eci->alpha_associated && frame_header.frame_type == FrameType::kRegularFrame && !ApplyOverride(cparams.keep_invisible, cparams.IsLossless()) && cparams.ec_resampling == cparams.resampling && !cparams.disable_perceptual_optimizations) { // simplify invisible pixels SimplifyInvisible(&color, *alpha, lossless); if (linear) { SimplifyInvisible(linear, *alpha, lossless); } } JXL_RETURN_IF_ERROR(PadImageToBlockMultipleInPlace(&color)); }
// Rectangle within color that corresponds to the currently processed group in // streaming mode. Rect group_rect(x0 - patch_rect.x0(), y0 - patch_rect.y0(), RoundUpToBlockDim(xsize), RoundUpToBlockDim(ysize));
if (enc_state.initialize_global_state && !jpeg_data) { ComputeChromacityAdjustments(cparams, color, group_rect, &mutable_frame_header); }
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