NDLI: Precise depth map upsampling and enhancement based on edge-preserving fusion filters

Content Provider	IET Digital Library
Author	Chang, Ting An Yang, Jar Ferr
Abstract	A texture image plus its associated depth map is the simplest representation of a three-dimensional image and video signals and can be further encoded for effective transmission. Since it contains fewer variations, a depth map can be coded with much lower resolution than a texture image. Furthermore, the resolution of depth capture devices is usually also lower. Thus, a low-resolution depth map with possible noise requires appropriate interpolation to restore it to full resolution and remove noise. In this study, the authors propose potency guided upsampling and adaptive gradient fusion filters to enhance the erroneous depth maps. The proposed depth map enhancement system can successfully suppress noise, fill missing values, sharpen foreground objects, and smooth background regions simultaneously. Their experimental results show that the proposed methods perform better in terms of both visual and subjective metrics than the classic methods and achieve results that are visually comparable with those of some time-consuming methods.
Starting Page	651
Ending Page	658
Page Count	8
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 5, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0336
Journal	IET Computer Vision
Publisher Date	2018-02-26
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Filter Adaptive Gradient Fusion Filter Depth Capture Device Depth Map Enhancement System Edge-preserving Fusion Filter Filtering Method in Signal Processing Image And Video Coding Image Denoising Image Enhancement Image Filtering Image Fusion Image Representation Image Restoration Image Sampling Image Texture Interpolation Interpolation And Function Approximation Low-resolution Depth Map Noise Removal Noise Suppression Numerical Analysis Potency Guided Upsampling Precise Depth Map Enhancement Precise Depth Map Upsampling Texture Image Three-dimensional Image Representation Video Coding Video Signal Video Signal Processing
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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