Adaptive DCT image coding based on a three-component image model

Xiaonong Ran, Nariman Farvardin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, we describe a three-component image model developed based on psychovisual studies of the human visual system. This image model consists of the primary component which contains the strong edge information of the image, the smooth component which represents the background slow-intensity variations and the texture component which contains the textures. Using this image model, we develop an adaptive DCT image coder in order to achieve high subjective performance at low bit rates (≤ 0.5 bits/pixel). The simulation results show that this adaptive DCT coder performs better than JPEG both objectively (in PSNR) and subjectively especially at low bit rates.

Original languageEnglish
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
Pages201-204
Number of pages4
ISBN (Electronic)0780305329
DOIs
StatePublished - 1992
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: 23 Mar 199226 Mar 1992

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
ISSN (Print)1520-6149

Conference

Conference1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Country/TerritoryUnited States
CitySan Francisco
Period23/03/9226/03/92

Fingerprint

Dive into the research topics of 'Adaptive DCT image coding based on a three-component image model'. Together they form a unique fingerprint.

Cite this