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