A Motion Compensated Filter for Channel Equalization and Video Restoration

Mohammed ELHASSOUNI  El Hassane IBNELAHJ  Driss ABOUTAJDINE  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E86-D   No.6   pp.1144-1148
Publication Date: 2003/06/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing, Image Pattern Recognition
Keyword: 
nonlinear channel,  Volterra equalizer,  motion estimation,  video restoration,  HOS,  

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Summary: 
An important area in visual communications is the restoration of image sequences degraded by channel and noise. Since a nonlinearity is commonly involved in image transmitting procedure, an adaptive nonlinear equalizer is required. In this paper we address this problem by proposing a 3D adaptive nonlinear filter, namely the 3D adaptive Volterra filter with an LMS type of adaptation algorithm. This adaptive filter is used for equalizing an unknown 2-D channel with some point-wise nonlinearity and restoring image sequences degraded by this channel. Prior to filtering, motion is estimated from the sequence and compensated for. For this purpose, a robust region-recursive Higher Order Statistics (HOS) based motion estimation method is employed. The overall combination is able to adequately remove undesired effects of communication channel and noise. The performance of this algorithm is examined using real image sequences demonstrated by experimental results.