Image deblocking using convex optimization

Liwei Guo; Oscar C. Au; Mengyao Ma; Xiaopeng Fan; Peter H.W. Wong; Daniel P. Palomar

doi:10.1109/ICIP.2008.4712463

Image deblocking using convex optimization

Liwei Guo^*
, Oscar C. Au
, Mengyao Ma
, Xiaopeng Fan
, Peter H.W. Wong
, Daniel P. Palomar

^*Corresponding author for this work

Dept. of Electronic and Computer Engineering
Hong Kong University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

Images encoded at low-bit rate may suffer from blocking artifacts, which can dramatically degrade the visual quality. In this paper, a novel approach to image deblocking is presented. Based on the analysis of image coding process and the property of natural images, an objective function and a set of constraint functions are proposed, and image deblocking is formulated as a convex optimization problem which can be easily solved using numerical methods. The feasibility of the convex optimization problem is utilized to detect the true object edges and avoid blurring. Experimental results demonstrates the effectiveness of the proposed approach.

Original language	English
Title of host publication	2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings
Pages	3148-3151
Number of pages	4
DOIs	https://doi.org/10.1109/ICIP.2008.4712463
State	Published - 2008
Externally published	Yes
Event	2008 IEEE International Conference on Image Processing, ICIP 2008 - San Diego, CA, United States Duration: 12 Oct 2008 → 15 Oct 2008

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
ISSN (Print)	1522-4880

Conference

Conference	2008 IEEE International Conference on Image Processing, ICIP 2008
Country/Territory	United States
City	San Diego, CA
Period	12/10/08 → 15/10/08

Keywords

Convex optimization
Image coding
Image deblocking
Post-processing

Access to Document

10.1109/ICIP.2008.4712463

Cite this

@inproceedings{78ad0d81fb124a02b5f1c1896453e58f,

title = "Image deblocking using convex optimization",

abstract = "Images encoded at low-bit rate may suffer from blocking artifacts, which can dramatically degrade the visual quality. In this paper, a novel approach to image deblocking is presented. Based on the analysis of image coding process and the property of natural images, an objective function and a set of constraint functions are proposed, and image deblocking is formulated as a convex optimization problem which can be easily solved using numerical methods. The feasibility of the convex optimization problem is utilized to detect the true object edges and avoid blurring. Experimental results demonstrates the effectiveness of the proposed approach.",

keywords = "Convex optimization, Image coding, Image deblocking, Post-processing",

author = "Liwei Guo and Au, \{Oscar C.\} and Mengyao Ma and Xiaopeng Fan and Wong, \{Peter H.W.\} and Palomar, \{Daniel P.\}",

year = "2008",

doi = "10.1109/ICIP.2008.4712463",

language = "英语",

isbn = "1424417643",

series = "Proceedings - International Conference on Image Processing, ICIP",

pages = "3148--3151",

booktitle = "2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings",

note = "2008 IEEE International Conference on Image Processing, ICIP 2008 ; Conference date: 12-10-2008 Through 15-10-2008",

}

Guo, L, Au, OC, Ma, M, Fan, X, Wong, PHW & Palomar, DP 2008, Image deblocking using convex optimization. in 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings., 4712463, Proceedings - International Conference on Image Processing, ICIP, pp. 3148-3151, 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, United States, 12/10/08. https://doi.org/10.1109/ICIP.2008.4712463

TY - GEN

T1 - Image deblocking using convex optimization

AU - Guo, Liwei

AU - Au, Oscar C.

AU - Ma, Mengyao

AU - Fan, Xiaopeng

AU - Wong, Peter H.W.

AU - Palomar, Daniel P.

PY - 2008

Y1 - 2008

N2 - Images encoded at low-bit rate may suffer from blocking artifacts, which can dramatically degrade the visual quality. In this paper, a novel approach to image deblocking is presented. Based on the analysis of image coding process and the property of natural images, an objective function and a set of constraint functions are proposed, and image deblocking is formulated as a convex optimization problem which can be easily solved using numerical methods. The feasibility of the convex optimization problem is utilized to detect the true object edges and avoid blurring. Experimental results demonstrates the effectiveness of the proposed approach.

AB - Images encoded at low-bit rate may suffer from blocking artifacts, which can dramatically degrade the visual quality. In this paper, a novel approach to image deblocking is presented. Based on the analysis of image coding process and the property of natural images, an objective function and a set of constraint functions are proposed, and image deblocking is formulated as a convex optimization problem which can be easily solved using numerical methods. The feasibility of the convex optimization problem is utilized to detect the true object edges and avoid blurring. Experimental results demonstrates the effectiveness of the proposed approach.

KW - Convex optimization

KW - Image coding

KW - Image deblocking

KW - Post-processing

UR - https://www.scopus.com/pages/publications/69949128146

U2 - 10.1109/ICIP.2008.4712463

DO - 10.1109/ICIP.2008.4712463

M3 - 会议稿件

AN - SCOPUS:69949128146

SN - 1424417643

SN - 9781424417643

T3 - Proceedings - International Conference on Image Processing, ICIP

SP - 3148

EP - 3151

BT - 2008 IEEE International Conference on Image Processing, ICIP 2008 Proceedings

T2 - 2008 IEEE International Conference on Image Processing, ICIP 2008

Y2 - 12 October 2008 through 15 October 2008

ER -

Image deblocking using convex optimization

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