A Spatiotemporal Neuronal Filter for Channel Equalization and Video Restoration

Elhassane IBNELHAJ  Driss ABOUTAJDINE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E88-D   No.10   pp.2427-2431
Publication Date: 2005/10/01
Online ISSN: 
DOI: 10.1093/ietisy/e88-d.10.2427
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
nonlinear channel,  CPWLN equalizer,  motion estimation,  mixed noise,  L-filter,  video restoration,  

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Summary: 
In this paper we present a 3D adaptive nonlinear filter, namely the 3D adaptive CPWLN, based on the Canonical Piece Wise-Linear Network with an LMS L-filter type of adaptation. This filter is used to equalize nonlinear channel effect and remove impulsive/or mixed impulsive and Additive White Gaussian noise from video sequences. First, motion compensation is performed by a robust estimator. Then, a 3-D CPWLN LMS L-filter is applied. The overall combination is able to adequately remove undesired effects of communication channel and noise. Computer simulations on real-world image sequences are included. The algorithm yields promising results in terms of both objective and subjective quality of the restored sequence.