NDLI: Depth map compression via edge-based inpainting

Content Provider	IEEE Xplore Digital Library
Author	Jinghui Chen Feng Ye Jinhong Di Chun Liu Aidong Men
Copyright Year	2012
Description	Author affiliation: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, 100876, China (Jinghui Chen; Feng Ye; Jinhong Di; Chun Liu; Aidong Men)
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.
Starting Page	57
Ending Page	60
File Size	288626
Page Count	4
File Format	PDF
ISBN	9781457720475
e-ISBN	9781457720499
e-ISBN	9781457720482
DOI	10.1109/PCS.2012.6213285
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-05-07
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	intra prediction Image coding Laplace equations PSNR Image edge detection image inpainting depth map Prediction algorithms Encoding Three dimensional displays edge detection
Content Type	Text
Resource Type	Article

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