Title :
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
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;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312692