Image restoration using a conjugate gradient-based adaptive filtering algorithm

Kyung Sub Joo, Tamal Bose, Guo Fang Xu

6 Scopus citations


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
Issue number2
Publication statusPublished - 1997
Externally publishedYes


ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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