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add LSIM metric to WebPPictureDistortion()
LSIM stands for "local similarity": before matching a compressed pixel to the source, we search around in the source and minimise the squared error. So, this is close to PSNR calculation, but mitigates some of its limitations (pure translation and noise for instance). There's a new -print_lsim option to cwebp too. Change-Id: Ia38561034c7a90e71d2ea0f55bb1de527eda245b
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@ -178,6 +178,9 @@ Compute and report average PSNR (Peak-Signal-To-Noise ratio).
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.B \-print_ssim
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Compute and report average SSIM (structural similarity metric)
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.TP
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.B \-print_lsim
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Compute and report local similarity metric.
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.TP
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.B \-progress
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Report encoding progress in percent.
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.TP
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