DocumentCode
3017682
Title
Performance of lossy compression algorithms from statistical and perceptual metrics
Author
Yang, Shuyu ; Zhang, Xiaoxi ; Mitra, Sunanda
Author_Institution
Dept. of Electr. Eng., Texas Tech. Univ., Lubbock, TX, USA
fYear
1999
fDate
1999
Firstpage
242
Lastpage
247
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
Keywords
data compression; image coding; medical image processing; performance evaluation; statistical analysis; lossy compression algorithm performance; mean square error; medical image compression; peak signal-to-noise ratio; perceptual metrics; statistical metrics; subjective ranking; visual perception; Compression algorithms; Humans; Image coding; Image reconstruction; Image storage; Mean square error methods; PSNR; Performance loss; Signal to noise ratio; Transform coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer-Based Medical Systems, 1999. Proceedings. 12th IEEE Symposium on
Conference_Location
Stamford, CT
ISSN
1063-7125
Print_ISBN
0-7695-0234-2
Type
conf
DOI
10.1109/CBMS.1999.781280
Filename
781280
Link To Document