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Suppression of Mosquito Noise by Recursive Epsilon-Filters

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2 Author(s)
Abbas, H. ; Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA ; Karam, L.J.

This work addresses the problem of mosquito noise (MN) reduction in compressed video sequences. A compression-blind approach is adopted; the advantage of such an approach is that it is independent of the particular compressor used and of its particular settings. A recursive filtering scheme is presented. It is shown how the filtering parameter ϵ can be adaptively selected to maximize the denoising performance by minimizing the number of outlier pixels in the filter's support. Simulation results show that the proposed blind MN-denoising scheme outperforms existing MN-denoising methods.

Published in:

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on  (Volume:1 )

Date of Conference:

15-20 April 2007