DocumentCode :
2279721
Title :
Texture denoising utilized in depth-enhanced multiview video coding
Author :
Aflaki, Payman ; Rusanovskyy, Dmytro ; Utriainen, Timo ; Pesonen, Emilia ; Hannuksela, Miska M. ; Jumisko-Pyykko, Satu ; Gabbouj, Moncef
Author_Institution :
Dept. of Signal Process., Tampere Univ. of Technol., Tampere, Finland
fYear :
2012
fDate :
7-9 May 2012
Firstpage :
85
Lastpage :
88
Abstract :
In this study, we applied a locally adaptive filtering in 3D DCT domain to 3 views as a preprocessing stage for encoding. Afterwards, these views were encoded and the decoded views were used by a Depth-Image-Based Rendering algorithm (DIBR) to produce virtual intermediate views. A stereopair at a suitable separation for viewing on a stereoscopic display was selected among the synthesized views. A large-scale subjective assessment of the selected synthesized stereopair was performed. A bitrate reduction of 9% on average and up to 21.8% was achieved with almost no penalties on subjective perceived quality.
Keywords :
adaptive filters; image denoising; image texture; rendering (computer graphics); video coding; 3D DCT domain; DIBR; adaptive filtering; bitrate reduction; depth-enhanced multiview video coding; depth-image-based rendering algorithm; encoding; large-scale subjective assessment; stereoscopic display; subjective perceived quality; synthesized stereopair; texture denoising; virtual intermediate views; Bit rate; Discrete cosine transforms; Encoding; Noise reduction; Three dimensional displays; Video coding; 3DV; MVC; subjective assessment; texture filtering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Picture Coding Symposium (PCS), 2012
Conference_Location :
Krakow
Print_ISBN :
978-1-4577-2047-5
Electronic_ISBN :
978-1-4577-2048-2
Type :
conf
DOI :
10.1109/PCS.2012.6213292
Filename :
6213292
Link To Document :
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