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imgcodecs: jpegxl: support lossless compression
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@ -518,11 +518,34 @@ bool JpegXLEncoder::write(const Mat& img, const std::vector<int>& params)
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return false;
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}
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// get distance param for JxlBasicInfo.
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float distance = -1.0; // Negative means not set
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for( size_t i = 0; i < params.size(); i += 2 )
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{
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if( params[i] == IMWRITE_JPEGXL_QUALITY )
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{
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#if JPEGXL_MAJOR_VERSION > 0 || JPEGXL_MINOR_VERSION >= 10
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int quality = params[i+1];
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quality = MIN(MAX(quality, 0), 100);
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distance = JxlEncoderDistanceFromQuality(static_cast<float>(quality));
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#else
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CV_LOG_ONCE_WARNING(NULL, "Quality parameter is supported with libjxl v0.10.0 or later");
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#endif
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}
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if( params[i] == IMWRITE_JPEGXL_DISTANCE )
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{
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int distanceInt = params[i+1];
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distanceInt = MIN(MAX(distanceInt, 0), 25);
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distance = static_cast<float>(distanceInt);
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}
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}
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JxlBasicInfo info;
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JxlEncoderInitBasicInfo(&info);
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info.xsize = img.cols;
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info.ysize = img.rows;
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info.uses_original_profile = JXL_FALSE;
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// Lossless encoding requires uses_original_profile = true.
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info.uses_original_profile = (distance == 0.0) ? JXL_TRUE : JXL_FALSE;
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if( img.channels() == 4 )
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{
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@ -576,30 +599,26 @@ bool JpegXLEncoder::write(const Mat& img, const std::vector<int>& params)
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return false;
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JxlEncoderFrameSettings* frame_settings = JxlEncoderFrameSettingsCreate(encoder.get(), nullptr);
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// set frame settings with distance params
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if(distance == 0.0) // lossless
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{
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if( JXL_ENC_SUCCESS != JxlEncoderSetFrameLossless(frame_settings, JXL_TRUE) )
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{
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CV_LOG_WARNING(NULL, "Failed to call JxlEncoderSetFrameLossless()");
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}
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}
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else if(distance > 0.0) // lossy
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{
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if( JXL_ENC_SUCCESS != JxlEncoderSetFrameDistance(frame_settings, distance) )
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{
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CV_LOG_WARNING(NULL, "Failed to call JxlEncoderSetFrameDistance()");
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}
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}
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// set frame settings from params if available
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for( size_t i = 0; i < params.size(); i += 2 )
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{
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if( params[i] == IMWRITE_JPEGXL_QUALITY )
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{
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#if JPEGXL_MAJOR_VERSION > 0 || JPEGXL_MINOR_VERSION >= 10
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int quality = params[i+1];
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quality = MIN(MAX(quality, 0), 100);
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const float distance = JxlEncoderDistanceFromQuality(static_cast<float>(quality));
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JxlEncoderSetFrameDistance(frame_settings, distance);
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if (distance == 0)
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JxlEncoderSetFrameLossless(frame_settings, JXL_TRUE);
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#else
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CV_LOG_ONCE_WARNING(NULL, "Quality parameter is supported with libjxl v0.10.0 or later");
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#endif
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}
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if( params[i] == IMWRITE_JPEGXL_DISTANCE )
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{
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int distance = params[i+1];
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distance = MIN(MAX(distance, 0), 25);
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JxlEncoderSetFrameDistance(frame_settings, distance);
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if (distance == 0)
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JxlEncoderSetFrameLossless(frame_settings, JXL_TRUE);
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}
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if( params[i] == IMWRITE_JPEGXL_EFFORT )
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{
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int effort = params[i+1];
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@ -305,6 +305,50 @@ TEST(Imgcodecs_JpegXL, imread_truncated_stream)
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remove(tmp_fname.c_str());
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}
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// See https://github.com/opencv/opencv/issues/27382
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TEST(Imgcodecs_JpegXL, imencode_regression27382)
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{
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cv::Mat image(1024, 1024, CV_16U);
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cv::RNG rng(1024);
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rng.fill(image, cv::RNG::NORMAL, 0, 65535);
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std::vector<unsigned char> buffer;
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std::vector<int> params = {cv::IMWRITE_JPEGXL_DISTANCE, 0}; // lossless
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EXPECT_NO_THROW(cv::imencode(".jxl", image, buffer, params));
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cv::Mat decoded;
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EXPECT_NO_THROW(decoded = cv::imdecode(buffer, cv::IMREAD_UNCHANGED));
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EXPECT_FALSE(decoded.empty());
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cv::Mat diff;
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cv::absdiff(image, decoded, diff);
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double max_diff = 0.0;
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cv::minMaxLoc(diff, nullptr, &max_diff);
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EXPECT_EQ(max_diff, 0 );
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}
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TEST(Imgcodecs_JpegXL, imencode_regression27382_2)
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{
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cv::Mat image(1024, 1024, CV_16U);
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cv::RNG rng(1024);
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rng.fill(image, cv::RNG::NORMAL, 0, 65535);
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std::vector<unsigned char> buffer;
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std::vector<int> params = {cv::IMWRITE_JPEGXL_QUALITY, 100}; // lossless
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EXPECT_NO_THROW(cv::imencode(".jxl", image, buffer, params));
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cv::Mat decoded;
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EXPECT_NO_THROW(decoded = cv::imdecode(buffer, cv::IMREAD_UNCHANGED));
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EXPECT_FALSE(decoded.empty());
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cv::Mat diff;
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cv::absdiff(image, decoded, diff);
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double max_diff = 0.0;
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cv::minMaxLoc(diff, nullptr, &max_diff);
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EXPECT_EQ(max_diff, 0 );
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}
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#endif // HAVE_JPEGXL
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