DocumentCode :
82884
Title :
Nonlinear Depth Map Resampling for Depth-Enhanced 3-D Video Coding
Author :
Aflaki, Payman ; Hannuksela, Miska ; Rusanovskyy, Dmytro ; Gabbouj, Moncef
Author_Institution :
Tampere Univ. of Technol., Tampere, Finland
Volume :
20
Issue :
1
fYear :
2013
fDate :
Jan. 2013
Firstpage :
87
Lastpage :
90
Abstract :
Depth-enhanced 3-D video coding includes coding of texture views and associated depth maps. It has been observed that coding of depth map at reduced resolution provides better rate-distortion performance on synthesized views comparing to utilization of full resolution (FR) depth maps in many coding scenarios based on the Advanced Video Coding (H.264/AVC) standard. Conventional techniques for down and upsampling do not take typical characteristics of depth maps, such as distinct edges and smooth regions within depth objects, into account. Hence, more efficient down and upsampling tools, capable of preserving edges better, are needed. In this letter, novel non-linear methods to down and upsample depth maps are presented. Bitrate comparison of synthesized views, including texture and depth map bitstreams, is presented against a conventional linear resampling algorithm. Objective results show an average bitrate reduction of 5.29% and 3.31% for the proposed down and upsampling methods with ratio ½, respectively, comparing to the anchor method. Moreover, a joint utilization of the proposed down and upsampling brings up to 20% and on average 7.35% bitrate reduction.
Keywords :
image enhancement; image resolution; image sampling; image texture; rate distortion theory; video coding; FR depth map; H.264-AVC standard; advanced video coding standard; average bitrate reduction; depth-enhanced 3D video coding; edge preservation; full resolution nonlinear depth map resampling; image resolution; image texture view coding; nonlinear method; rate-distortion performance; upsampling method; Bit rate; Encoding; Image coding; Joints; Signal processing algorithms; Transform coding; Video coding; Depth map; MVC; nonlinear; resampling;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2012.2228189
Filename :
6373714
Link To Document :
بازگشت