DocumentCode
1361440
Title
Integration of Recursive Temporal LMMSE Denoising Filter Into Video Codec
Author
Guo, Liwei ; Au, Oscar C. ; Ma, Mengyao ; Wong, Peter H W
Author_Institution
Hong Kong Univ. of Sci. & Technol., Kowloon, China
Volume
20
Issue
2
fYear
2010
Firstpage
236
Lastpage
249
Abstract
The presence of noise can dramatically affect the efficiency of video compression systems. For performance improvement, most practical video compression systems adopt a denoising filter as a pre-processing module for the video encoder, or as a post-processing module for the video decoder, but the complexity introduced by denoising can be very high. This paper first presents a recursive temporal linear minimum mean squared error (LMMSE) filter for video denoising. Based on the analysis of the hybrid video compression process, two novel schemes are presented, one for video encoding and the other for video decoding, in which the proposed recursive temporal LMMSE filter is seamlessly integrated into the encoding and the decoding processes, respectively. For both of these two schemes, the denoising is implemented with nearly no extra computation introduced. Experimental results validate the effectiveness of the proposed schemes on encoding and decoding noisy video sequences.
Keywords
data compression; filtering theory; image denoising; image sequences; least mean squares methods; video coding; preprocessing module; recursive temporal LMMSE denoising filter; recursive temporal linear minimum mean squared error; video codec; video compression systems; video encoder; video sequences; Minimum mean squared error; temporal filtering; video compression; video denoising;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2009.2031453
Filename
5229293
Link To Document