Title :
Adaptive spatio-temporal filtering for video denoising
Author :
Cheong, Hye Yeon ; Tourapis, Alexis Michael ; Llach, J. ; Boyce, Jill
Author_Institution :
Dept. of Electr. Eng., Columbia Univ., New York, NY, USA
Abstract :
Video denoising is an important feature of many modem video encoding architectures since it can considerably enhance coding efficiency while at the same time improving objective and subjective quality. In this paper, a new scheme for video denoising based on spatio-temporal filtering is presented, which can be used as a preprocessing stage within a video encoder. Spatial filtering is performing through the adaptive selection and combination of a wavelet based and a 2D Wiener filter, while for temporal filtering we employ bidirectional block based motion compensation using the Enhanced Predictive Zonal Search (EPZS) algorithm. Experimental results are presented which show a significant improvement in video quality when the denoised video sequence is encoded with an H.264 encoder.
Keywords :
Wiener filters; adaptive codes; code standards; image denoising; image enhancement; image sequences; modems; motion compensation; prediction theory; spatiotemporal phenomena; video coding; 2D Wiener filter; EPZS; H.264 encoder; adaptive combination; adaptive selection; bidirectional block based motion compensation; coding efficiency; enhanced predictive zonal search; modem video encoding architecture; objective quality; preprocessing stage; spatio-temporal filtering; subjective quality; video denoising; video sequence; wavelet; Adaptive filters; Bidirectional control; Encoding; Filtering; Frequency; Modems; Motion estimation; Noise reduction; Video compression; Wiener filter;
Conference_Titel :
Image Processing, 2004. ICIP '04. 2004 International Conference on
Conference_Location :
Singapore
Print_ISBN :
0-7803-8554-3
DOI :
10.1109/ICIP.2004.1419461
