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Proceedings Paper

A new progressive block artifact reduction algorithm using a transform domain-based Markov random field model
Author(s): Zhen Li; Edward J. Delp
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Paper Abstract

The Block-based Discrete Cosine Transform (BDCT) is one of the most widely used transforms in image and video coding. However, it introduces annoying blocking artifact at low data rates. A great deal of work has been done to reduce the artifact. In this paper, we propose a transform domain-based Markov Random Field (TD-MRF) model to address this problem. Based on this new model, a transform domain maximum a posteriori (MAP) algorithm is presented to remove the blocking artifacts in images and video. It is shown that our new approach can reduce the computational complexity dramatically while achieving significant visual improvements.

Paper Details

Date Published: 7 May 2003
PDF: 12 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476509
Show Author Affiliations
Zhen Li, Purdue Univ. (United States)
Edward J. Delp, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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