DocumentCode :
590290
Title :
Mode adaptive reference frame denoising for high fidelity compression in HEVC
Author :
Wige, Eugen ; Yammine, G. ; Schnurrer, Wolfgang ; Kaup, Andre
Author_Institution :
Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
fYear :
2012
fDate :
27-30 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
A new video coding standard, High Efficiency Video Coding (HEVC), is currently under development. In this paper we propose two relatively low-complex adaptive Wiener schemes for efficient P-frame coding of noisy videos with HEVC. In the proposed in-loop denoising framework the reference frame is noise filtered for P-frame prediction. The introduced algorithms adapt to the HEVC coding structure and thus can efficiently model the noise within the reference frame. The simulation results show that on the one hand considerable compression gains can be achieved using the proposed in-loop denoising framework. On the other hand the developed algorithms decrease the encoder runtime, but at the same time increase the decoder runtime.
Keywords :
data compression; decoding; filtering theory; image denoising; video coding; HEVC coding structure; P-frame coding; P-frame prediction; decoder runtime; encoder runtime; high efficiency video coding; high fidelity compression; in-loop denoising framework; low-complex adaptive Wiener scheme; mode adaptive reference frame denoising; noise filtering; noisy video; video coding standard; Complexity theory; Decoding; Encoding; Noise; Noise reduction; Runtime; Standards; HEVC; In-loop denoising; inter-frame prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-4405-0
Electronic_ISBN :
978-1-4673-4406-7
Type :
conf
DOI :
10.1109/VCIP.2012.6410777
Filename :
6410777
Link To Document :
بازگشت