Share Email Print

Proceedings Paper

Image compression using a novel edge-based coding algorithm
Author(s): Farhad Keissarian; Mohammad Farhang Daemi
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, we present a novel edge-based coding algorithm for image compression. The proposed coding scheme is the predictive version of the original algorithm, which we presented earlier in literature. In the original version, an image is block coded according to the level of visual activity of individual blocks, following a novel edge-oriented classification stage. Each block is then represented by a set of parameters associated with the pattern appearing inside the block. The use of these parameters at the receiver reduces the cost of reconstruction significantly. In the present study, we extend and improve the performance of the existing technique by exploiting the expected spatial redundancy across the neighboring blocks. Satisfactory coded images at competitive bit rate with other block-based coding techniques have been obtained.

Paper Details

Date Published: 28 August 2001
PDF: 8 pages
Proc. SPIE 4388, Visual Information Processing X, (28 August 2001); doi: 10.1117/12.438254
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. 4388:
Visual Information Processing X
Stephen K. Park; Zia-ur Rahman; Robert A. Schowengerdt, Editor(s)

© SPIE. Terms of Use
Back to Top