Motion-compensated noise estimation for effective video processing

Byung Cheol Song; Nak Hoon Kim

doi:10.1117/12.761090

28 January 2008 Motion-compensated noise estimation for effective video processing

Byung Cheol Song, Nak Hoon Kim

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 682208 (2008) https://doi.org/10.1117/12.761090
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Byung Cheol Song and Nak Hoon Kim "Motion-compensated noise estimation for effective video processing", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 682208 (28 January 2008); https://doi.org/10.1117/12.761090

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