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Reducing noise in high-resolution video sequences by using wavelet shrinkage in the temporal-spatial domain

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4 Author(s)
Yasutaka Matsuo ; Science and Technical Research Laboratories, Japan Broadcasting Corporation (NHK), 1-10-11 Kinuta, Setagaya-ku, Tokyo, Japan, 157-8510 ; Yukikiro Nishida ; Seiichi Gohshi ; Shin-ichi Sakaida

A novel method for reducing video noise by using wavelet shrinkage in the temporal-spatial domain was devised and evaluated. In a temporal-spatial wavelet transform, static areas in a picture appear in a temporal low-frequency sub-band. In regards to this sub-band, the wavelet shrinkage can use a high threshold value in a shrinkage function and attains good noise-reduction performance. On the other hand, moving areas in a picture appear at the temporal high-frequency sub-band in a wavelet transform. In this sub-band, the wavelet shrinkage can not use a high threshold value, so a combined algorithm with a spatial-median filter is used. The noise-reduction performance of the proposed method was confirmed by a subjective evaluation, which showed that the quality of the noise-reduced images produced by the devised method is superior to that produced by traditional noise-reduction methods.

Published in:

Picture Coding Symposium, 2009. PCS 2009

Date of Conference:

6-8 May 2009