Provided by: jpegqs_1.20210408-3_amd64
NAME
JPEG Quant Smooth - JPEG artifacts removal
DESCRIPTION
This program tries to recover the lost precision of DCT coefficients based on a quantization table from a JPEG image. The result is saved as a JPEG image with quantization set to 1 (like a JPEG saved at 100% quality).
SYNOPSIS
jpegqs [options] input.jpg output.jpg
OPTIONS
-q, --quality n Quality setting (0-6, default is 3)/home/rainbow/Desktop/pngtest/jpegrestore/jpegqs.1 -n, --niter n Number of iterations (default is 3) * More iterations can make the result look like CG art, can make the photos look unnatural. -t, --threads n Set the number of CPU threads to use -o, --optimize Option for libjpeg to produce smaller output file -v, --verbose n Print libjpeg debug output -i, --info n Print quantsmooth debug output (default is 15). Use the sum of flags: 0 - silent 1/2/4 - various information 8 - processing time 16 - SIMD type * The processing time includes only the smoothing algorithm, jpeg reading and writing time is not included. -p, --cpu n Use to lower the SIMD type if CPU detection fails: 0 - auto 1 - scalar 2 - SSE2 3 - AVX2 4 - AVX512 * x86 build selects between modes 1-3, x86_64 from 2-4
QUALITY
The quality setting sets a combination of flags for processing: 3. default 4. adds DIAGONALS flag smoother diagonal edges, ~1.5 times slower 5. adds JOINT_YUV flag chroma channels will depend from luminance, better color consistency 6. adds UPSAMPLE_UV flag non-blurring chroma upsampling, unlike fancy upsampling from libjpeg levels 0-2 is the same as 4-6, but with LOW_QUALITY flag ~10 times faster, but the quality is lower LOW_QUALITY implies DIAGONALS (always set)
PROJECT PAGE
https://github.com/ilyakurdyukov/jpeg-quantsmooth
COPYRIGHT
Copyright (C) 2016-2021 Ilya Kurdyukov