Paper Info
Title
Adaptive Spatio-Temporal Filtering For Video De-Noising
Abstract
Video de-noising is an important feature of many modern 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 de-noising, based on spatio-temporal filtering is presented, which can be used as a pre-processing stage within a video encoder. Spatial filtering is performing through the adaptive selection and combination of a wavelet based and a 2-D Wiener filter, while for temporal filtering we employ bi-directional 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 de-noised video sequence is encoded with tin H.264 encoder.
Year
DOI
Venue
2004
10.1109/ICIP.2004.1419461
ICIP: 2004 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1- 5
Keywords
Field
DocType
motion compensation,video quality,spatial filtering,wiener filter
Computer vision,Block-matching algorithm,Pattern recognition,Computer science,Motion compensation,Image processing,Video tracking,Artificial intelligence,Encoder,Adaptive filter,Video denoising,Video quality
Conference
ISSN
Citations 
PageRank 
1522-4880
19
1.45
References 
Authors
6
4
Name
Order
Citations
PageRank
Hye-yeon Cheong1345.41
Alexis M. Tourapis243338.89
Joan Llach39910.01
jill macdonald boyce4191.45