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Proceedings Paper

Applications Of Adaptive Least Square Filtering To Image Restoration
Author(s): Mohamed Chellali; Vinay K. Ingle
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Paper 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.

Paper Details

Date Published: 25 October 1988
PDF: 6 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.968934
Show Author Affiliations
Mohamed Chellali, Northeastern University (United States)
Vinay K. Ingle, Northeastern University (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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