DocumentCode
1741642
Title
Joint Kalman-based noise filtering and motion compensated video coding for low bit rate videoconferencing
Author
Biloslavo, Manuel ; Ramponi, Giovanni ; Olivieri, Stefano ; Albani, Luigi
Author_Institution
Dipt. di Elettrotecnica Elettronica ed Inf., Trieste Univ., Italy
Volume
1
fYear
2000
fDate
2000
Firstpage
992
Abstract
The problem of noise filtering for video coding applications is considered in this paper. In a previous paper by S. Olivieri and L. Albini (see Proc. ICIP´99, Kobe, Japan, Oct. 1999) an advantageous technique to combine a motion compensated (MC) noise filter with the coding loop of an MC hybrid coding scheme was illustrated, and a rate-distortion (RD) optimization framework was proposed. Here, we describe an alternative structure for denoising image sequences to be coded, which is based on Kalman filtering. Experimental results reveal that this technique provides performances as good as those of the RD-optimized noise filter of S. Olivieri and L. Albini, while the computational complexity has been greatly reduced
Keywords
Kalman filters; computational complexity; filtering theory; image sequences; interference suppression; motion compensation; rate distortion theory; teleconferencing; video coding; Kalman filtering; computational complexity; image denoising; image sequences; low bit rate videoconferencing; motion compensation; noise filtering; rate-distortion (RD) optimization; video coding; Additive noise; Bit rate; Computational complexity; Electronic mail; Filtering; Image sequences; Kalman filters; Noise reduction; Rate-distortion; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location
Vancouver, BC
ISSN
1522-4880
Print_ISBN
0-7803-6297-7
Type
conf
DOI
10.1109/ICIP.2000.901128
Filename
901128
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