Wavelet algorithms for deblurring models

Michael K. Ng; C. K. Sze; S. P. Yung

doi:10.1002/ima.20014

Wavelet algorithms for deblurring models

Michael K. Ng, C. K. Sze, S. P. Yung^*

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Journal article › peer-review

14 Citations (Scopus)

Abstract

Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative deblurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology.

Original language	English
Pages (from-to)	113-121
Number of pages	9
Journal	International Journal of Imaging Systems and Technology
Volume	14
Issue number	3
DOIs	https://doi.org/10.1002/ima.20014
Publication status	Published - 1 Sept 2004

Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Software
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

User-Defined Keywords

Block matrix
Circulant matrix
Deblurring
Wavelets

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10.1002/ima.20014

Cite this

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title = "Wavelet algorithms for deblurring models",

abstract = "Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative deblurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology.",

keywords = "Block matrix, Circulant matrix, Deblurring, Wavelets",

author = "Ng, {Michael K.} and Sze, {C. K.} and Yung, {S. P.}",

note = "Funding Information: Hong Kong Research Grants Council. Grant Numbers: HKU 7130/02P, HKU 7046/03P HKU CRCG. Grant Numbers: 10204437, 10203501, 10203907 HKU CRCG. Grant Numbers: 335/024/009, 10205108, 10204488 Publisher copyright: {\textcopyright} 2004 Wiley Periodicals, Inc.",

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AU - Ng, Michael K.

AU - Sze, C. K.

AU - Yung, S. P.

N1 - Funding Information: Hong Kong Research Grants Council. Grant Numbers: HKU 7130/02P, HKU 7046/03P HKU CRCG. Grant Numbers: 10204437, 10203501, 10203907 HKU CRCG. Grant Numbers: 335/024/009, 10205108, 10204488 Publisher copyright: © 2004 Wiley Periodicals, Inc.

PY - 2004/9/1

Y1 - 2004/9/1

N2 - Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative deblurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology.

AB - Blur removal is an important problem in signal and image processing. In this article, we formulate the deblurring problem within a wavelet framework and design a methodology to find deblurring filters. Using these deblurring filters, we derive an iterative deblurring algorithm and prove its convergence. Simulation results are reported to illustrate the proposed framework and methodology.

KW - Block matrix

KW - Circulant matrix

KW - Deblurring

KW - Wavelets

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U2 - 10.1002/ima.20014

DO - 10.1002/ima.20014

M3 - Journal article

AN - SCOPUS:6344263622

SN - 0899-9457

VL - 14

SP - 113

EP - 121

JO - International Journal of Imaging Systems and Technology

JF - International Journal of Imaging Systems and Technology

IS - 3

ER -

Wavelet algorithms for deblurring models

Abstract

Scopus Subject Areas

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