Share Email Print

Proceedings Paper

Image representation scheme using histogram-based classifier and its application to image coding
Author(s): Farhad Keissarian; Mohammad Farhang Daemi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, a new image representation scheme using a set of block templates is introduced first. Its application in image coding is presented afterwards. In the proposed representation scheme, a set of block templates is constructed to represent three basic types of image patterns: uniform, edge, and irregular. A novel classifier, which is designed based on the histogram shape analysis of image blocks, is employed to classify the block templates according to their level of visual activity. Each block template is then represented by a set of parameters associated with the pattern appearing inside the block. Image representation using these templates requires considerably fewer bits than the original pixel-wise description and yet characterizes perceptually significant features more effectively. The coding system approximates each image block by one of the block templates and further quantizes the template parameters. Satisfactory coded images have been obtained at bit rates between 0.3 - 0.4 bits per pixel (bpp).

Paper Details

Date Published: 28 December 2000
PDF: 9 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411541
Show Author Affiliations
Farhad Keissarian, United Arab Emirates Univ. (United Arab Emirates)
Mohammad Farhang Daemi, Univ. of Nottingham (United Kingdom)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?