NDLI: Reduced quaternion matrix-based sparse representation and its application to colour image processing

Content Provider	IET Digital Library
Author	Bao, Zhongyun Gai, Shan
Abstract	The traditional colour image sparse models ignore the relationship among the three separate colour channels. The authors propose a novel colour image sparse model by employing reduced quaternion matrix, which can treat independent colour channels as a whole. In addition, reduced quaternion matrix singular value decomposition is employed to design the corresponding dictionary learning algorithm. To make the proposed model robust and tractable, a reduced quaternion split Bregman iteration is developed to solve the minimisation problem. The proposed model cannot only preserve inherent colour structures but also avoid hue bias issue efficiently. Extensive experiments on colour image de-noising, in-painting, and super-resolution manifest that the proposed sparse representation model outperforms the state-of-the-art schemes.
Starting Page	566
Ending Page	575
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 4, Mar (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5409
Journal	IET Image Processing
Publisher Date	2018-12-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Algebra Colour Image De-noising Computer Vision And Image Processing Technique Corresponding Dictionary Learning Algorithm Digital Signal Processing Image And Video Coding Image Colour Analysis Image Denoising Image Processing Image Recognition Image Representation Image Resolution Image Restoration Independent Colour Channel Inherent Colour Structure Iterative Method Learning in AI Minimisation Novel Colour Image Sparse Model Optical, Image And Video Signal Processing Patient Diagnostic Method And Instrumentation Reduced Quaternion Matrix Singular Value Decomposition Reduced Quaternion Matrix-based Sparse Representation Reduced Quaternion Split Bregman Iteration Separate Colour Channel Signal Processing And Detection Singular Value Decomposition Sparse Matrix Sparse Representation Model Traditional Colour Image Sparse Model
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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