Image restoration using a conjugate gradient based adaptive filtering algorithm

Kyung Sub Joo, Tamal Bose, Guo Fang Xu

Research output: Contribution to conferencePaper

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 languageEnglish (US)
Pages247-250
Number of pages4
StatePublished - Jan 1 1996
Externally publishedYes
EventProceedings of the 1996 7th IEEE Digital Signal Processing Workshop - Loen, Norway
Duration: Sep 1 1996Sep 4 1996

Other

OtherProceedings of the 1996 7th IEEE Digital Signal Processing Workshop
CityLoen, Norway
Period9/1/969/4/96

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Joo, K. S., Bose, T., & Xu, G. F. (1996). Image restoration using a conjugate gradient based adaptive filtering algorithm. 247-250. Paper presented at Proceedings of the 1996 7th IEEE Digital Signal Processing Workshop, Loen, Norway, .