NDLI: Adaptive colour-guided non-local means algorithm for compound noise reduction of depth maps

Content Provider	IET Digital Library
Author	Ibrahim, Mostafa M. Liu, Qiong Yang, You
Abstract	Depth maps are used to describe object positioning information in three-dimensional (3D) space, and they are crucial for RGB-D data representation, which is useful for numerous interactive visual applications. In practice, depth maps are often contaminated by compound noise, including intrinsic noise and missing regions owing to active illumination shadows. As existing noise models cannot describe the above-mentioned compound noise effectively, the subsequent filter design is a challenging task. In this study, an adaptive colour-guided non-local mean (NLM) filter is proposed to address such compound noise. First, the authors classify the depth map into hole and non-hole pixels. Then, the proposed filter is designed on the basis of the NLM framework, where the colour image is used as a guide prior for hole-artifact removal. Finally, the authors use a shock filter to effectively address the non-regularisation of the restored depth map edges and remove the remaining noise. Experiments show that the proposed filter qualitatively and quantitatively outperforms existing colour-guided and unguided filters. Moreover, the authors verify the superiority of the proposed filter through virtual view synthesis and 3D scene reconstruction applications.
Starting Page	2768
Ending Page	2779
Page Count	12
ISSN	17519659
Volume Number	14
e-ISSN	17519667
Issue Number	Issue 12, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/14/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2019.0074
Journal	IET Image Processing
Publisher Date	2020-04-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	3D Scene Reconstruction Active Illumination Shadows Adaptive Colour-guided Nonlocal Mean Filter Adaptive Colour-guided Nonlocal Means Algorithm Adaptive Filter Colour Image Compound Noise Compound Noise Reduction Computer Vision And Image Processing Technique Filtering Method in Signal Processing Graphics Technique Hole-artifact Removal Image Colour Analysis Image Denoising Image Filtering Image Reconstruction Image Representation Image Restoration Image Texture Interactive Visual Application Nonhole Pixel Object Positioning Information Optical, Image And Video Signal Processing Restored Depth Map Edge RGB-D Data Representation Stereo Image Processing Subsequent Filter Design Virtual View Synthesis
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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