Share Email Print

Proceedings Paper

Coding-adaptive transforms
Author(s): Dan Lelescu; Frank Bossen
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

Transform coding plays a central role in image and video coding technologies. Various transforms, whether fixed or adaptive, have been utilized for video compression. However, these transforms are inherently sub-optimal in a coding-efficiency sense, given that their design does not explicitly take into account the entire transform coding model. Thus, commonly used transforms such as the DCT have desirable properties, but were designed without the full consideration of the other transform coding elements including quantization and entropy coding. Although these transforms have good performance in a rate-distortion sense, as demonstrated by today's image and video coding standards, we show that superior transforms can be designed based on the complete transform coding model. We present a new class of transforms called coding-adaptive transforms, that are derived under an optimality criterion which incorporates the elements of transform coding and is formulated for coding efficiency. Additionally, characteristics of the new transforms such as adaptivity, generalization, and robustness are discussed.

Paper Details

Date Published: 18 January 2004
PDF: 12 pages
Proc. SPIE 5308, Visual Communications and Image Processing 2004, (18 January 2004); doi: 10.1117/12.527015
Show Author Affiliations
Dan Lelescu, DoCoMo Communications Labs. USA, Inc. (United States)
Frank Bossen, DoCoMo Communications Labs. USA, Inc. (United States)

Published in SPIE Proceedings Vol. 5308:
Visual Communications and Image Processing 2004
Sethuraman Panchanathan; Bhaskaran Vasudev, Editor(s)

© SPIE. Terms of Use
Back to Top