A new progressive block artifact reduction algorithm using a transform domain-based Markov random field model

Zhen Li; Edward J. Delp

doi:10.1117/12.476509

7 May 2003 A new progressive block artifact reduction algorithm using a transform domain-based Markov random field model

Zhen Li, Edward J. Delp

Author Affiliations +

Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476509
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Zhen Li and Edward J. Delp "A new progressive block artifact reduction algorithm using a transform domain-based Markov random field model", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476509

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