NDLI: Joint Weighted Sparse Representation Based Median Filter for Depth Video Coding

Content Provider	IEEE Xplore Digital Library
Author	Jinhui Hu Ruimin Hu Yu Chen Liang Liao Jing Xiao Ruolin Ruan
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. Sci., Hubei Univ. of Sci. & Technol., Xianning, China (Ruolin Ruan) \|\| Sch. of Comput., Wuhan Univ., Wuhan, China (Jinhui Hu; Ruimin Hu; Yu Chen; Liang Liao; Jing Xiao)
Abstract	In order to promote the development of auto-stereoscopic display, MPEG has proposed multi-view plus depth (MVD) format. The depth video is encoded and transmitted with color video to synthesize virtual views at the receiver side. The existing video coding standards such as H.264/AVC introduces coding artifacts along the depth boundaries, which may seriously affects the synthesized view quality and coding efficiency. Many in-loop depth filters such as joint depth filter have been proposed to remove the artifacts in compressed depth video. However, their performance is unstable and affected by the outliers due to the weighted summation. In this paper, based on the sparse prior characteristic in local region of depth map, we propose a joint weighted sparse representation based median filter to select the most relevant neighboring depth pixel as the output during the filter process. Experimental results show the proposed method is more effective in improving the depth video coding efficiency.
Starting Page	450
Ending Page	450
File Size	98163
Page Count	1
File Format	PDF
ISBN	9781479984305
ISSN	10680314
DOI	10.1109/DCC.2015.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Joints Image color analysis Image coding Video coding Encoding Adaptive filters Data compression
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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