Paper Info
Title
Efficient coding of video sequences by non-local in-loop denoising of reference frames
Abstract
The compression efficiency of coding noisy image sequences is highly dependent on the noise itself and on the used quantization parameter. For very high quality near lossless compression a promising approach to save bitrate is to introduce an in-loop denoising filter in the codec. In this paper, we enhance our in-loop denoising scheme by a low complexity noise variance estimation algorithm. Additionally, we compare three different algorithms for denoising of the reference frame for medium to high quality compression of noisy videos. We use a low complexity adaptive Wiener filter, the NonLocal Means algorithm, and the BM3D algorithm for denoising of the reference frame only. We show that maximum bitrate savings up to 18% can be achieved using a sophisticated algorithm like the BM3D and up to 12% using a low complexity algorithm like the adaptive Wiener filter.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6115648
Image Processing
Keywords
Field
DocType
Wiener filters,adaptive filters,computational complexity,image denoising,image sequences,video coding,BM3D algorithm,adaptive Wiener filter,compression efficiency,in-loop denoising filter,lossless compression,low complexity noise variance estimation algorithm,noisy image sequences,non local in-loop denoising,reference frames,video sequences,high quality compression,in-loop denoising,inter frame prediction,near lossless compression
Reference frame,Wiener filter,Computer vision,Pattern recognition,Non-local means,Computer science,Artificial intelligence,Adaptive filter,Quantization (signal processing),Video denoising,Codec,Lossless compression
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4577-1302-6
978-1-4577-1302-6
2
PageRank 
References 
Authors
0.40
4
4
Name
Order
Citations
PageRank
Wige, E.1101.68
Yammine, G.261.24
Peter Amon320123.28
Hutter, A.4344.29