Suppression of ringing artifacts with an adaptive shrinkage algorithm

Ngai Fong Law; Wan Chi Siu; Degan Feng

Suppression of ringing artifacts with an adaptive shrinkage algorithm

Ngai Fong Law, Wan Chi Siu, Degan Feng

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 non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe.

Original language	English
Title of host publication	IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings
Publisher	IEEE
Pages	181-184
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 = "Suppression of ringing artifacts with an adaptive shrinkage algorithm",

abstract = "A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe.",

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

year = "1999",

month = dec,

day = "1",

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pages = "181--184",

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",

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Law, NF, Siu, WC & Feng, D 1999, Suppression of ringing artifacts with an adaptive shrinkage algorithm. in IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, pp. 181-184, Proceedings of the 1999 IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM'99), Victoria, BC, United States, 22/08/99.

Suppression of ringing artifacts with an adaptive shrinkage algorithm. / Law, Ngai Fong; Siu, Wan Chi; Feng, Degan.
IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing - Proceedings. IEEE, 1999. p. 181-184.

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

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N2 - A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe.

AB - A non-iterative wavelet-based algorithm was proposed to reduce the ringing artifacts associated with a lossy compressed image. The proposed algorithm is based on the fact that increases in magnitude of the quantized wavelet coefficients lead to decreases in visual smoothness. Thus a shrinkage algorithm is applied to maintain visual smoothness. The proposed algorithm is, however, adaptive in nature, in which the amount of shrinkage depends on edge strength, region activity and compression ratio. Experimental results have confirmed that the adaptive algorithm could suppress the ringing artifacts and improve visual smoothness, especially around edges where ringing is severe.

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M3 - Conference article published in proceeding or book

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

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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 -

Suppression of ringing artifacts with an adaptive shrinkage algorithm

Abstract

Conference

ASJC Scopus subject areas

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