A Multihypothesis Motion-Compensated Temporal Filter for Video Denoising

Author

Liwei Guo ; Au, Oscar C. ; Mengyao Ma ; Zhiqin Liang ; Yuk, C.K.M.

Author_Institution

Dept. of Electr. & Electron. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China

fYear

2006

Firstpage

1417

Lastpage

1420

Abstract

Most existing filters for video denoising are spatio-temporal filters which operate on data over 3 dimensions. This paper presents a purely linear temporal filter with multihypothesis motion compensation (MC). Compared to the spatio-temporal filters, the proposed one needs much fewer inputs and much simpler operation. Experimental results show that just by involving 3 pixels, the proposed filter can achieve very good noise suppression performance. Moreover, as a purely temporal filter, it can well preserve spatial details and achieve satisfactory visual quality.

Keywords

filtering theory; image denoising; motion compensation; spatiotemporal phenomena; video signal processing; linear temporal filter; multihypothesis motion compensation; video denoising; Computer science; Data engineering; Discrete cosine transforms; Motion compensation; Noise reduction; Nonlinear filters; Video compression; Video signal processing; White noise; Wiener filter; Video signal processing; motion compensation; white noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2006 IEEE International Conference on

Conference_Location

Atlanta, GA

ISSN

1522-4880

Print_ISBN

1-4244-0480-0

Type

conf

DOI

10.1109/ICIP.2006.312692

Filename

4106805