Blocking artifacts removal with a successive structure analysis using wavelet transform

Ngai Fong Law; Wan Chi Siu

Blocking artifacts removal with a successive structure analysis using wavelet transform

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

A successive structural analysis using wavelet is proposed to remove the block artifacts associated with block-based coding such as JPEG. The analysis is based on the different responses of block boundaries (constrained by quantization), and the structural information about an image in wavelet domain. In particular, information about an image is divided into a few bands according to their responses in wavelet domain. A metric is then proposed to quantify the quality of information in each band. As simulation results show, block artifacts are removed effectively by the proposed algorithm.

Original language	English
Title of host publication	IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
Publisher	IEEE
Pages	75-78
Number of pages	4
Publication status	Published - 1 Dec 1999
Event	Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99) - Victoria, BC, United States Duration: 22 Aug 1999 → 24 Aug 1999

Conference

Conference	Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99)
Country/Territory	United States
City	Victoria, BC
Period	22/08/99 → 24/08/99

ASJC Scopus subject areas

Signal Processing

Cite this

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title = "Blocking artifacts removal with a successive structure analysis using wavelet transform",

abstract = "A successive structural analysis using wavelet is proposed to remove the block artifacts associated with block-based coding such as JPEG. The analysis is based on the different responses of block boundaries (constrained by quantization), and the structural information about an image in wavelet domain. In particular, information about an image is divided into a few bands according to their responses in wavelet domain. A metric is then proposed to quantify the quality of information in each band. As simulation results show, block artifacts are removed effectively by the proposed algorithm.",

author = "Law, {Ngai Fong} and Siu, {Wan Chi}",

year = "1999",

month = dec,

day = "1",

language = "English",

pages = "75--78",

booktitle = "IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings",

publisher = "IEEE",

address = "United States",

note = "Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99) ; Conference date: 22-08-1999 Through 24-08-1999",

}

Law, NF & Siu, WC 1999, Blocking artifacts removal with a successive structure analysis using wavelet transform. in IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, pp. 75-78, Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99), Victoria, BC, United States, 22/08/99.

Blocking artifacts removal with a successive structure analysis using wavelet transform. / Law, Ngai Fong; Siu, Wan Chi.
IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, 1999. p. 75-78.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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T1 - Blocking artifacts removal with a successive structure analysis using wavelet transform

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AU - Siu, Wan Chi

PY - 1999/12/1

Y1 - 1999/12/1

N2 - A successive structural analysis using wavelet is proposed to remove the block artifacts associated with block-based coding such as JPEG. The analysis is based on the different responses of block boundaries (constrained by quantization), and the structural information about an image in wavelet domain. In particular, information about an image is divided into a few bands according to their responses in wavelet domain. A metric is then proposed to quantify the quality of information in each band. As simulation results show, block artifacts are removed effectively by the proposed algorithm.

AB - A successive structural analysis using wavelet is proposed to remove the block artifacts associated with block-based coding such as JPEG. The analysis is based on the different responses of block boundaries (constrained by quantization), and the structural information about an image in wavelet domain. In particular, information about an image is divided into a few bands according to their responses in wavelet domain. A metric is then proposed to quantify the quality of information in each band. As simulation results show, block artifacts are removed effectively by the proposed algorithm.

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M3 - Conference article published in proceeding or book

SP - 75

EP - 78

BT - IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings

PB - IEEE

T2 - Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99)

Y2 - 22 August 1999 through 24 August 1999

ER -

Blocking artifacts removal with a successive structure analysis using wavelet transform

Abstract

Conference

ASJC Scopus subject areas

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