DocumentCode :
2279629
Title :
Depth map compression via edge-based inpainting
Author :
Chen, Jinghui ; Ye, Feng ; Di, Jinhong ; Liu, Chun ; Men, Aidong
Author_Institution :
Sch. of Inf. & Commun. Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fYear :
2012
fDate :
7-9 May 2012
Firstpage :
57
Lastpage :
60
Abstract :
This work presents a novel intra-frame coding scheme for depth maps that makes use of the characteristics of depth images: large smooth areas separated by sharp edges. The proposed method is block-based, thus can be easily integrated into H.264/AVC framework. By using the extracted edge information, each block is divided into several regions and each region is handled independently. Most regions are predicted via image inpainting based on the Laplace equation. The others that could not be inpainted are predicted by their mean values or a default value. Both the extracted edge information and the mean values are compressed under the rate-distortion (RD) optimization principle. Compared with H.264/AVC, the results show that the proposed scheme achieves both PSNR gain in depth maps and visual quality improvement in rendered views.
Keywords :
Laplace equations; data compression; edge detection; optimisation; rate distortion theory; video coding; H.264/AVC; Laplace equation; RD optimization; depth images; depth map compression; edge-based inpainting; image inpainting; intra-frame coding scheme; rate distortion optimization; Encoding; Image coding; Image edge detection; Laplace equations; PSNR; Prediction algorithms; Three dimensional displays; depth map; edge detection; image inpainting; intra prediction;
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.2012.6213285
Filename :
6213285
Link To Document :
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