IMAGE-RESTORATION USING A CONJUGATE GRADIENT-BASED ADAPTIVE FILTERINGALGORITHM

A new two-dimensional (2D) sample-based conjugate gradient (SCG) algor ithm is developed for adaptive filtering. This algorithm is based on t he conjugate gradient method of optimization and therefore has a fast convergence characteristic. The SCG is computationally simpler than th e recursive least squares (RLS) algorithm. The SCG algorithm with the equation-error and output-error methods is investigated for applicatio n in image restoration. Simulation results show that the new algorithm significantly outperforms existing algorithms in the restoration of n oisy images.