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2.6.1: add MSE and MSEF metrics
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‎CHANGELOG

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JPEG Recompress
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https://github.com/ImageProcessing-ElectronicPublications/jpeg-recompress
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2.6.1 "msef"
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Added MSE and MSEF metric.
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Research: correct trends UM (44 images)
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2.6.0 "sum"
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Added VIFP 1 layer in SUM metric.

‎README.md

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@@ -54,12 +54,14 @@ Name | Option | Description
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----------- | ------------- | -----------
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MPE | `-m mpe` | Mean pixel error (as used by [imgmin](https://github.com/rflynn/imgmin))
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PSNR | `-m psnr` | [Peak signal-to-noise ratio](https://en.wikipedia.org/wiki/Peak_signal-to-noise_ratio)
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MSE | `-m mse` | [Mean squared error](https://en.wikipedia.org/wiki/Mean_squared_error)
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MSEF | `-m msef` | `sqrt(MSE/Variance)`
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Correlation | `-m cor` | [Correlation](https://en.wikipedia.org/wiki/Correlation)
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SSIM | `-m ssim` | [Structural similarity](http://en.wikipedia.org/wiki/Structural_similarity)
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MS-SSIM* | `-m ms-ssim` | Multi-scale structural similarity (slow!) ([2008 paper](http://foulard.ece.cornell.edu/publications/dmr_hvei2008_paper.pdf))
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VIFP1 | `-m vifp1` | [The visual information fidelity (VIF)](http://live.ece.utexas.edu/publications.php) 1 layer.
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SmallFry | `-m smallfry` | Linear-weighted BBCQ-like ([original project](https://github.com/dwbuiten/smallfry), [2011 BBCQ paper](http://spie.org/Publications/Proceedings/Paper/10.1117/12.872231) -> [LibSmallFry](https://github.com/ImageProcessing-ElectronicPublications/libsmallfry))
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SharpenBad | `-m shbad` | Sharpen discrepancies ([LibSmallFry](https://github.com/ImageProcessing-ElectronicPublications/libsmallfry))
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Correlation | `-m cor` | [Correlation](https://en.wikipedia.org/wiki/Correlation)
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NHW | `-m nhw` | NHW convolutional metric ([original project](https://github.com/rcanut/NHW_Neatness_Metrics) -> [LibSmallFry](https://github.com/ImageProcessing-ElectronicPublications/libsmallfry))
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1 pair | `-m ssimfry` | `(ssim + smallfry) / 2`
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2 pair | `-m ssimshb` | `(ssim + shbad) / 2`
@@ -73,15 +75,16 @@ SUMMARY | `-m sum` | `(ssim + vipf1 + smallfry + shbad + nhw) / 5` **DE
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```
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Trends:
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```
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UM = 2.99 * sqrt(sqrt(1.0 / MPE)) - 1.70
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UM = 1.00 * sqrt(PNSR) - 5.32
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UM = 2.07 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.26
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UM = 2.42 * sqrt(sqrt(1.0 / MPE)) - 1.38
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UM = 0.87 * sqrt(PNSR) - 4.70
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UM = 1.02 * sqrt(sqrt(1.0 / MSEF)) - 1.49
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UM = 2.87 * cor_sigma(cor_sigma(COR)) - 1.42
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UM = 1.73 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.11
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UM = 1.59 * cor_sigma(cor_sigma(MS_SSIM)) + 0.01
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UM = 3.69 * cor_sigma(VIFP1) - 2.74
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UM = 0.0684 * SMALLFRY - 6.29
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UM = 1.17 * SHARPENBAD - 0.12
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UM = 3.03 * cor_sigma(cor_sigma(COR)) - 1.52
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UM = 0.40 * sqrt(sqrt(1.0 / NHW)) - 0.48
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UM = 1.12 * cor_sigma(cor_sigma(VIFP1)) - 0.03
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UM = 0.0658 * SMALLFRY - 6.07
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UM = 1.00 * SHARPENBAD + 0.05
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UM = 0.36 * sqrt(sqrt(1.0 / NHW)) - 0.41
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cor_sigma(M) = 1.0 - sqrt(1.0 - M * M)
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```
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#### Example Commands
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```bash
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```shell
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# Default settings
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jpeg-recompress image.jpg compressed.jpg
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‎man/man1/jpeg-compare.1

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.TH "jpeg-compare" 1 2.6.0 "31 Jan 2023" "User manual"
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.TH "jpeg-compare" 1 2.6.1 "02 Feb 2023" "User manual"
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.SH NAME
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jpeg-compare
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output program help
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.TP
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\fB\-m\fR, \fB\-\-method\fR [arg]
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set comparison method to one of 'fast', 'mpe', 'psnr', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'cor', 'nhw', 'ssimfry', 'ssimshb', 'sum' [fast]
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set comparison method to one of 'fast', 'mpe', 'psnr', 'mse', 'msef', 'cor', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'nhw', 'ssimfry', 'ssimshb', 'sum' [fast]
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.TP
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\fB\-n\fR, \fB\-\-norm\fR
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UM scale metric
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.PP
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Trends:
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UM = 2.99 * sqrt(sqrt(1.0 / MPE)) - 1.70
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UM = 1.00 * sqrt(PNSR) - 5.32
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UM = 2.07 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.26
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UM = 2.42 * sqrt(sqrt(1.0 / MPE)) - 1.38
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UM = 0.87 * sqrt(PNSR) - 4.70
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UM = 1.02 * sqrt(sqrt(1.0 / MSEF)) - 1.49
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UM = 2.87 * cor_sigma(cor_sigma(COR)) - 1.42
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UM = 1.73 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.11
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UM = 1.59 * cor_sigma(cor_sigma(MS_SSIM)) + 0.01
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UM = 3.69 * cor_sigma(VIFP1) - 2.74
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UM = 0.0684 * SMALLFRY - 6.29
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UM = 1.17 * SHARPENBAD - 0.12
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UM = 3.03 * cor_sigma(cor_sigma(COR)) - 1.52
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UM = 0.40 * sqrt(sqrt(1.0 / NHW)) - 0.48
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UM = 1.12 * cor_sigma(cor_sigma(VIFP1)) - 0.03
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UM = 0.0658 * SMALLFRY - 6.07
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UM = 1.00 * SHARPENBAD + 0.05
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UM = 0.36 * sqrt(sqrt(1.0 / NHW)) - 0.41
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cor_sigma(M) = 1.0 - sqrt(1.0 - M * M)
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.SH COPYRIGHT

‎man/man1/jpeg-hash.1

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.TH "jpeg-hash" 1 2.6.0 "31 Jan 2023" "User manual"
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.TH "jpeg-hash" 1 2.6.1 "02 Feb 2023" "User manual"
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.SH NAME
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jpeg-hash

‎man/man1/jpeg-recompress.1

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.TH "jpeg-recompress" 1 2.6.0 "31 Jan 2023" "User manual"
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.TH "jpeg-recompress" 1 2.6.1 "02 Feb 2023" "User manual"
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jpeg-recompress
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set the number of runs to attempt [6]
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.TP
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\fB\-m\fR, \fB\-\-method\fR [arg]
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set comparison method to one of 'mpe', 'psnr', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'cor', 'nhw', 'ssimfry', 'ssimshb', 'sum' [sum]
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set comparison method to one of 'mpe', 'psnr', 'mse', 'msef', 'cor', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'nhw', 'ssimfry', 'ssimshb', 'sum' [sum]
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\fB\-n\fR, \fB\-\-min\fR [arg]
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minimum JPEG quality [40]
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UM = 2.99 * sqrt(sqrt(1.0 / MPE)) - 1.70
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UM = 1.00 * sqrt(PNSR) - 5.32
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UM = 2.07 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.26
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UM = 2.42 * sqrt(sqrt(1.0 / MPE)) - 1.38
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UM = 0.87 * sqrt(PNSR) - 4.70
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UM = 1.02 * sqrt(sqrt(1.0 / MSEF)) - 1.49
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UM = 2.87 * cor_sigma(cor_sigma(COR)) - 1.42
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UM = 1.73 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.11
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UM = 1.59 * cor_sigma(cor_sigma(MS_SSIM)) + 0.01
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UM = 3.69 * cor_sigma(VIFP1) - 2.74
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UM = 0.0684 * SMALLFRY - 6.29
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UM = 1.17 * SHARPENBAD - 0.12
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UM = 3.03 * cor_sigma(cor_sigma(COR)) - 1.52
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UM = 0.40 * sqrt(sqrt(1.0 / NHW)) - 0.48
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UM = 1.12 * cor_sigma(cor_sigma(VIFP1)) - 0.03
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UM = 0.0658 * SMALLFRY - 6.07
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UM = 1.00 * SHARPENBAD + 0.05
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UM = 0.36 * sqrt(sqrt(1.0 / NHW)) - 0.41
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cor_sigma(M) = 1.0 - sqrt(1.0 - M * M)
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.SH COPYRIGHT

‎man/man1/jpeg-zfpoint.1

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.TH "jpeg-zfpoint" 1 2.6.0 "31 Jan 2023" "User manual"
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.TH "jpeg-zfpoint" 1 2.6.1 "02 Feb 2023" "User manual"
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jpeg-zfpoint

‎man/man1/webp-compress.1

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.TH "webp-compress" 1 2.6.0 "31 Jan 2023" "User manual"
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.TH "webp-compress" 1 2.6.1 "02 Feb 2023" "User manual"
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set the number of runs to attempt [8]
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.TP
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\fB\-m\fR, \fB\-\-method\fR [arg]
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set comparison method to one of 'mpe', 'psnr', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'cor', 'nhw', 'ssimfry', 'ssimshb', 'sum' [sum]
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set comparison method to one of 'mpe', 'psnr', 'mse', 'msef', 'cor', 'ssim', 'ms-ssim', 'vifp1', 'smallfry', 'shbad', 'nhw', 'ssimfry', 'ssimshb', 'sum' [sum]
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\fB\-n\fR, \fB\-\-min\fR [arg]
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minimum quality [1]
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UM = 2.99 * sqrt(sqrt(1.0 / MPE)) - 1.70
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UM = 1.00 * sqrt(PNSR) - 5.32
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UM = 2.07 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.26
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UM = 2.42 * sqrt(sqrt(1.0 / MPE)) - 1.38
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UM = 0.87 * sqrt(PNSR) - 4.70
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UM = 1.02 * sqrt(sqrt(1.0 / MSEF)) - 1.49
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UM = 2.87 * cor_sigma(cor_sigma(COR)) - 1.42
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UM = 1.73 * cor_sigma(cor_sigma(cor_sigma(SSIM))) - 0.11
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UM = 1.59 * cor_sigma(cor_sigma(MS_SSIM)) + 0.01
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UM = 3.69 * cor_sigma(VIFP1) - 2.74
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UM = 0.0684 * SMALLFRY - 6.29
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UM = 1.17 * SHARPENBAD - 0.12
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UM = 3.03 * cor_sigma(cor_sigma(COR)) - 1.52
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UM = 0.40 * sqrt(sqrt(1.0 / NHW)) - 0.48
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UM = 1.12 * cor_sigma(cor_sigma(VIFP1)) - 0.03
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UM = 0.0658 * SMALLFRY - 6.07
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UM = 1.00 * SHARPENBAD + 0.05
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UM = 0.36 * sqrt(sqrt(1.0 / NHW)) - 0.41
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cor_sigma(M) = 1.0 - sqrt(1.0 - M * M)
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.SH COPYRIGHT

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