Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

Ngai Fong Law; Wan Chi Siu

Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

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

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 International Conference on Image Processing
Publisher	IEEE
Pages	364-368
Number of pages	5
Publication status	Published - 1 Dec 1999
Event	International Conference on Image Processing (ICIP'99) - Kobe, Japan Duration: 24 Oct 1999 → 28 Oct 1999

Conference

Conference	International Conference on Image Processing (ICIP'99)
Country/Territory	Japan
City	Kobe
Period	24/10/99 → 28/10/99

ASJC Scopus subject areas

Computer Vision and Pattern Recognition
Hardware and Architecture
Electrical and Electronic Engineering

Cite this

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title = "Adaptive shrinkage algorithm for ringing suppression with smoothness constraint",

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}",

year = "1999",

month = dec,

day = "1",

language = "English",

pages = "364--368",

booktitle = "IEEE International Conference on Image Processing",

publisher = "IEEE",

address = "United States",

note = "International Conference on Image Processing (ICIP'99) ; Conference date: 24-10-1999 Through 28-10-1999",

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T1 - Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

AU - Law, Ngai Fong

AU - Siu, Wan Chi

PY - 1999/12/1

Y1 - 1999/12/1

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

SP - 364

EP - 368

BT - IEEE International Conference on Image Processing

PB - IEEE

T2 - International Conference on Image Processing (ICIP'99)

Y2 - 24 October 1999 through 28 October 1999

ER -

Adaptive shrinkage algorithm for ringing suppression with smoothness constraint

Abstract

Conference

ASJC Scopus subject areas

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