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Image restoration using a conjugate gradient based adaptive filtering algorithm

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3 Author(s)
Kyung Sub Joo ; Dept. of Electr. Eng., Colorado Univ., Denver, CO, USA ; Bose, T. ; Guo Fang Xu

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

Published in:

Digital Signal Processing Workshop Proceedings, 1996., IEEE

Date of Conference:

1-4 Sep 1996