Image restoration using a conjugate gradient-based adaptive filtering algorithm

Kyung Sub Joo, Tamal Bose, Guo Fang Xu

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

A new two-dimensional (2D) sample-based conjugate gradient (SCO) 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 SCG is computationally simpler than the recursive least squares (RLS) algorithm. The SCG 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 languageEnglish (US)
Pages (from-to)197-206
Number of pages10
JournalCircuits, Systems, and Signal Processing
Volume16
Issue number2
StatePublished - 1997
Externally publishedYes

Fingerprint

Adaptive Filtering
Adaptive filtering
Conjugate Gradient
Image Restoration
Image reconstruction
Conjugate Gradient Algorithm
Least Square Algorithm
Recursive Algorithm
Conjugate Gradient Method
Restoration
Conjugate gradient method
Optimization
Output
Simulation

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Image restoration using a conjugate gradient-based adaptive filtering algorithm. / Joo, Kyung Sub; Bose, Tamal; Xu, Guo Fang.

In: Circuits, Systems, and Signal Processing, Vol. 16, No. 2, 1997, p. 197-206.

Research output: Contribution to journalArticle

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