DocumentCode :
590325
Title :
Adaptive Depth edge sharpening for 3D video depth coding
Author :
Rong Zhang ; Ying Chen ; Karczewicz, Marta
Author_Institution :
Qualcomm Inc., San Diego, CA, USA
fYear :
2012
fDate :
27-30 Nov. 2012
Firstpage :
1
Lastpage :
6
Abstract :
In 3D video systems with Multiview Video plus Depth (MVD) representation, intermediate views can be rendered from transmitted texture views and corresponding depth maps by techniques such as Depth Image Based Rendering (DIBR). Recent standardization activities in MPEG include the development for such MVD based 3DV codecs. One codec which is H.264/AVC based is called 3DV-ATM. Because of compression, reconstructed depth maps often have certain distortions, such as blurry depth edges, which can result in noticeable artifacts in the rendered views. In this paper, a method of adaptive depth edge sharpening is proposed for 3D video coding, based on the 3DV-ATM. The proposed adaptive depth edge filtering and smoothing along depth edge techniques adaptively sharpen blurry edges of the reconstructed depth frames caused by compression. Compared to the anchor software 3DV-ATM, the proposed method achieves about 7.2% bitrate reduction on average for the rendered view PSNRs versus overall bitrates with comparable runtime complexity.
Keywords :
data compression; filtering theory; image representation; video coding; 3D video depth coding; DIBR; H.264-AVC; MPEG; MVD based 3DV codecs; MVD representation; PSNR; adaptive depth edge filtering; adaptive depth edge sharpening; adaptive depth edge smoothing; anchor software 3DV-ATM; blurry depth edges; depth image based rendering; multiview video plus depth representation; noticeable artifacts; Bit rate; Codecs; Encoding; Filtering; Image edge detection; Smoothing methods; Video coding; 3D video coding; 3DV; Depth coding; depth edge filtering;
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.2012.6410849
Filename :
6410849
Link To Document :
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