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

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Author

Z Li, E J Delp

Entry type

inproceedings

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.

Date

2003 – 05

URL

http://www.imaging.org/store/epub.cfm?abstrid=23049

Booktitle

Proceedings of SPIE/IS&T

Journal

Image and Video Communications and Processing 2003

Key alpha

Delp

Pages

1001-1012

Volume

5022

Publication Date

2003-05-01

BibTex-formatted data

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@Inproceedings{ Delp,
	title = "A new progressive block artifact reduction algorithm using a transform domain-based Markov random field model ",
	author = "Z Li, E J Delp",
	year = "2003",
	month = "05",
	booktitle = "Proceedings of SPIE/IS&T",
	journal = "Image and Video Communications and Processing 2003",
	pages = "1001-1012",
	volume = "5022",
	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.",
	url = "http://www.imaging.org/store/epub.cfm?abstrid=23049",
}