Image restoration using a conjugate gradient based adaptive filtering algorithm

Kyung Sub Joo; Tamal Bose; Guo Fang Xu

Image restoration using a conjugate gradient based adaptive filtering algorithm

Kyung Sub Joo, Tamal Bose, Guo Fang Xu

Electrical and Computer Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

Original language	English (US)
Pages	247-250
Number of pages	4
State	Published - 1996
Event	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway Duration: Sep 1 1996 → Sep 4 1996

Other

Other	Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop
City	Loen, Norway
Period	9/1/96 → 9/4/96

ASJC Scopus subject areas

Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Image restoration using a conjugate gradient based adaptive filtering algorithm",

abstract = "A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.",

author = "Joo, {Kyung Sub} and Tamal Bose and Xu, {Guo Fang}",

year = "1996",

language = "English (US)",

pages = "247--250",

note = "Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop ; Conference date: 01-09-1996 Through 04-09-1996",

}

TY - CONF

T1 - Image restoration using a conjugate gradient based adaptive filtering algorithm

AU - Joo, Kyung Sub

AU - Bose, Tamal

AU - Xu, Guo Fang

PY - 1996

Y1 - 1996

N2 - A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

AB - A new two-dimensional (2-D) recursive conjugate gradient (RCG) algorithm is developed for adaptive filtering. This algorithm is based on the conjugate gradient method of optimization and therefore has a fast convergence characteristic. The RCG is computationally simpler than the recursive least square (RLS) algorithm. The RCG algorithm with the equation-error and output-error methods is investigated for application in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of noisy images.

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M3 - Paper

AN - SCOPUS:0029749339

SP - 247

EP - 250

T2 - Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop

Y2 - 1 September 1996 through 4 September 1996

ER -

Image restoration using a conjugate gradient based adaptive filtering algorithm

Abstract

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ASJC Scopus subject areas

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