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
fDate :
10/1/1993 12:00:00 AM
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;
Journal_Title :
Proceedings of the IEEE
