DocumentCode
963783
Title
Signal compression based on models of human perception
Author
Jayant, Nikil ; Johnston, James ; Safranek, Robert
Author_Institution
AT&T Bell Labs., Murray Hill, NJ, USA
Volume
81
Issue
10
fYear
1993
fDate
10/1/1993 12:00:00 AM
Firstpage
1385
Lastpage
1422
Abstract
The notion of perceptual coding, which is based on the concept of distortion masking by the signal being compressed, is developed. Progress in this field as a result of advances in classical coding theory, modeling of human perception, and digital signal processing, is described. It is proposed that fundamental limits in the science can be expressed by the semiquantitative concepts of perceptual entropy and the perceptual distortion-rate function, and current compression technology is examined in that framework. Problems and future research directions are summarized
Keywords
data compression; digital signals; encoding; signal processing; coding theory; digital signal processing; distortion masking; human perception; perceptual coding; perceptual distortion-rate function; perceptual entropy; semiquantitative concepts; Algorithm design and analysis; Bit rate; Distortion measurement; Entropy; Humans; Image coding; Noise shaping; Signal design; Signal processing; Signal processing algorithms;
fLanguage
English
Journal_Title
Proceedings of the IEEE
Publisher
ieee
ISSN
0018-9219
Type
jour
DOI
10.1109/5.241504
Filename
241504
Link To Document