Performance of lossy compression algorithms from statistical and perceptual metrics

The performance of compression algorithms is traditionally evaluated by statistical metrics such as mean square error (MSE) and peak signal-to-noise ratio (PSNR). However it is well known that these metrics do not always correlate with visual perception. We have implemented a well known perceptual metric and evaluated the performance of a number of recently developed high fidelity compression algorithms using perceptual as well as statistical metrics. Our preliminary results do not indicate a consistent correlation between the perceptual metric used and subjective ranking.

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