Adaptive image restoration using the multichannel recursive least squares algorithm

Because of the inhomogeneous nature of images in the real world, and fading imaging systems, an adaptive approach to image restoration is used. The approach is based on the multichannel adaptive equalization technique. The adaptive algorithm used is the multichannel recursive least squares algorithm, which is an extension of the 1-D recursive least squares (RLS) transversal filter. This new approach does not require knowledge of system characteristics or signal data; however, a training phase is required for initial adaptation of restoration filter coefficients. To verify the proposed approach, simulation results are included