Title :
Suppression of Mosquito Noise by Recursive Epsilon-Filters
Author :
Abbas, Haider ; Karam, Lina J.
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
Abstract :
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.
Keywords :
data compression; image resolution; image sequences; recursive filters; video coding; blind MN-denoising scheme; compressed video sequences; compression-blind approach; mosquito noise reduction; outlier pixels; particular compressor; recursive epsilon-filters; recursive filtering scheme; Adaptive filters; Discrete cosine transforms; Filtering; Focusing; Image coding; Noise reduction; Quantization; Video compression; Video sequences; Wiener filter; Denoising; Epsilon Filter; Mosquito Noise; Restoration; Video;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366022