Performance of lossy compression algorithms from statistical andperceptual metrics
Shuyu Yang
Xiaoxi Zhang
Sunanda Mitra
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX;
This paper appears in: Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
Publication Date: 1999
On page(s): 242-247
Meeting Date: 06/18/1999 - 06/20/1999
Location: Stamford, CT, USA
ISBN: 0-7695-0234-2
References Cited: 13
INSPEC Accession Number: 6325606
Digital Object Identifier: 10.1109/CBMS.1999.781280
Current Version Published: 2002-08-06
Abstract
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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