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
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