Applications Of Adaptive Least Square Filtering To Image Restoration

Mohamed Chellali; Vinay K. Ingle

doi:10.1117/12.968934

25 October 1988 Applications Of Adaptive Least Square Filtering To Image Restoration

Mohamed Chellali, Vinay K. Ingle

Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.968934
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States

Abstract

Images in real life are inhomogeneous while the transmission channels are time varying, hence, adaptive schemes are suitable for tracking slow variations on system identification and inverse filtering. In this paper we report theoretical and experimental study of the application of adaptive filtering to two dimensional signals. In particular, we focus on the recursive least square transversal filter applied to image restoration. A multichannel extension of the well known one dimensional recursive least square (RLS) algorithm is presented. Finally simulation results on real world images are given.

Citation Download Citation

Mohamed Chellali and Vinay K. Ingle "Applications Of Adaptive Least Square Filtering To Image Restoration", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.968934

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