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

Volume

2

fYear

2004

fDate

24-27 Oct. 2004

Firstpage

965

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2004. ICIP '04. 2004 International Conference on

Conference_Location

Singapore

ISSN

1522-4880

Print_ISBN

0-7803-8554-3

Type

conf

DOI

10.1109/ICIP.2004.1419461

Filename

1419461