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Proceedings Paper

Motion-compensated noise estimation for effective video processing
Author(s): Byung Cheol Song; Nak Hoon Kim
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Paper Abstract

For effective noise removal prior to video processing, noise power or noise variance of an input video sequence needs to be found exactly, but it is actually a very difficult process. This paper presents an accurate noise variance estimation algorithm based on motion compensation between two adjacent noisy pictures. Firstly, motion estimation is performed for each block in a picture, and the residue variance of the best motion-compensated block is calculated. Then, a noise variance estimate of the picture is obtained by adaptively averaging and properly scaling the variances close to the best variance. The simulation results show that the proposed noise estimation algorithm is very accurate and stable irrespective of noise level.

Paper Details

Date Published: 28 January 2008
PDF: 7 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682208 (28 January 2008); doi: 10.1117/12.761090
Show Author Affiliations
Byung Cheol Song, Samsung Electronics Co., Ltd. (South Korea)
Nak Hoon Kim, Samsung Electronics Co., Ltd. (South Korea)

Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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