Noise Robust Motion Refinement for Motion Compensated Noise Reduction

Jong-Sun KIM  Lee-Sup KIM  

IEICE TRANSACTIONS on Information and Systems   Vol.E91-D   No.5   pp.1581-1583
Publication Date: 2008/05/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e91-d.5.1581
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
motion refinement,  noise reduction,  motion estimation,  motion compensated noise reduction,  

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A motion refinement algorithm is proposed to enhance motion compensated noise reduction (MCNR) efficiency. Instead of the vector with minimum distortion, the vector with minimum distance from motion vectors of neighboring blocks is selected as the best motion vector among vectors which have distortion values within the range set by noise level. This motion refinement finds more accurate motion vectors in the noisy sequences. The MCNR with the proposed algorithm maintains the details of an image sequence very well without blurring and joggling. And it achieves 10% bit-usage reduction or 0.5 dB objective quality enhancement in subsequent video coding.