Image restoration using a conjugate gradient-based adaptive filtering algorithm

Kyung Sub Joo, Tamal Bose, Guo Fang Xu

Research output: Contribution to journalArticlepeer-review

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
StatePublished - 1997

ASJC Scopus subject areas

  • Signal Processing
  • Applied Mathematics


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