NDLI: Image completion using multispectral imaging

Content Provider	IET Digital Library
Author	Bousefsaf, Frédéric Tamaazousti, Mohamed Said, Souheil Hadj Michel, Rémi
Abstract	Here, the authors explore the potential of multispectral imaging applied to image completion. Snapshot multispectral cameras correspond to breakthrough technologies that are suitable for everyday use. Therefore, they correspond to an interesting alternative to digital cameras. In their experiments, multispectral images are acquired using an ultracompact snapshot camera-recorder that senses 16 different spectral channels in the visible spectrum. Direct exploitation of completion algorithms by extension of the spectral channels exhibits only minimum enhancement. A dedicated method that consists in a prior segmentation of the scene has been developed to address this issue. The segmentation derives from an analysis of the spectral data and is employed to constrain research area of exemplar-based completion algorithms. The full processing chain takes benefit from standard methods that were developed by both hyperspectral imaging and computer vision communities. Results indicate that image completion constrained by spectral presegmentation ensures better consideration of the surrounding materials and simultaneously improves rendering consistency, in particular for completion of flat regions that present no clear gradients and little structure variance. The authors validate their method with a perceptual evaluation based on 20 volunteers. This study shows for the first time the potential of multispectral imaging applied to image completion.
Starting Page	1164
Ending Page	1174
Page Count	11
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 7, Jul (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1203
Journal	IET Image Processing
Publisher Date	2018-02-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Blue Cameras Breakthrough Technology Camera Computer Graphics Computer Vision And Image Processing Technique Computer Vision Communities Exemplar-based Completion Algorithm Graphics Technique Green Cameras Hyperspectral Image Image Completion Image Enhancement Image Segmentation Image Sonsor Little Structure Variance Minimum Enhancement Multispectral Imaging Numerical Criteria Optical, Image And Video Signal Processing Perceptual Evaluation Red Cameras Rendering Rendering Consistency Scene Segmentation Snapshot Multispectral Cameras Spectral Channel Spectral Pre-segmentation Ultracompact Snapshot Camera-recorder
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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