Share Email Print
cover

Proceedings Paper

On Transparent Quality Image Coding Using Visual Models
Author(s): V. Ramamoorthy; N. S. Jayant
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Since viewing conditions greatly affect the perception of an image, the coding algorithm must take into account the viewing conditions and the human visual perception mechanisms. If the coded image and the uncoded input image are indistinguishable in a casual viewing session lasting 20 seconds, then the coding algorithm is said to have attained Transparent quality. The smallest bit rate at which such transparent quality is achieved is called the perceptual entropy. Starting with a low bit rate vector quantizer which does not offer transparent quality encoding, we explore a technique with which perceptually relevant regions can be carefully encoded to achieve transparent and high quality reproductions. The bit rates associated with this technique are in the range of 1 to 3.5 bits/pixel and these can be regarded as an upper bound to the perceptual entropy.

Paper Details

Date Published: 15 August 1989
PDF: 9 pages
Proc. SPIE 1077, Human Vision, Visual Processing, and Digital Display, (15 August 1989); doi: 10.1117/12.952713
Show Author Affiliations
V. Ramamoorthy, US WEST Advanced Technologies (United States)
N. S. Jayant, AT&T Bell Laboratories (United States)


Published in SPIE Proceedings Vol. 1077:
Human Vision, Visual Processing, and Digital Display
Bernice E. Rogowitz, Editor(s)

© SPIE. Terms of Use
Back to Top