NDLI: Candidate value-based boundary filtering for compressed depth images

Content Provider	IET Digital Library
Author	Zhao, Lijun Wang, Anhong Zeng, Bing Wu, Yingchun
Abstract	In three-dimensional (3D) video, a compressed depth map usually has large distortions along-boundaries, leading to object deformation and artefacts in synthesised views. A so-called candidate values based boundary filtering (CVBF) with low computational complexity by filtering only some detected unreliable pixels along the boundaries is proposed. Assuming that the smooth regions consist of reliable pixels, CVBF selects an appropriate candidate value to replace each unreliable pixel based on both the nearest reliable pixels and the mean values of surrounding regions. Experimental results show that synthesised views with CVBF-filtered depth maps are better than existing joint trilateral filtering, the depth boundary reconstruction filter and the adaptive depth truncation filter.
Starting Page	224
Ending Page	226
Page Count	3
ISSN	00135194
Volume Number	51
e-ISSN	1350911X
Issue Number	Issue 3, Feb (2015)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/51/3
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2014.3912
Journal	Electronics Letters
Publisher Date	2015-01-22
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Video Compression Adaptive Depth Truncation Filter Adaptive Filter ADTF Candidate Value-based Boundary Filtering Compressed Depth Image Computational Complexity CVBF CVBF-filtered Depth Maps Data Compression DBRF Depth Boundary Reconstruction Filter Depth Image Compression Filtering Method in Signal Processing Image And Video Coding Image Filtering Image Reconstruction Joint Trilateral Filtering JTF Reliable Pixel Three-dimensional Video Compression Video Coding Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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