NDLI: Vector extension of quaternion wavelet transform and its application to colour image denoising

Content Provider	IET Digital Library
Author	Gai, Shan Bao, Zhongyun Zhang, Kaige
Abstract	In this study, the authors study and give a new framework for colour image representation based on colour quaternion wavelet transform (CQWT). The new colour quaternion filter bank is constructed by using radon transform. Starting from link with structure tensors, the authors propose a new multi-scale tool for vector-valued signals which can provide efficient analysis of local features by using the concepts of amplitude, phase, and orientation. To demonstrate the properties of CQWT, new colour image denoising algorithm is proposed by using CQWT and bivariate shrinkage function. The performance of the proposed algorithm is experimentally verified on a variety of noise levels. Experimental results show that the proposed algorithm achieves superior performance both in visual quality and objective peak-signal-to-noise ratio, mean square error, and structure similarity values, compared with other state-of-the-art denoising algorithms.
Starting Page	133
Ending Page	140
Page Count	8
ISSN	17519675
Volume Number	13
e-ISSN	17519683
Issue Number	Issue 2, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-spr/13/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-spr.2018.5127
Journal	IET Signal Processing
Publisher Date	2018-08-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Authors Study Bivariate Shrinkage Function Colour Image Denoising Algorithm Colour Image Representation Colour Quaternion Filter Bank Computer Vision And Image Processing Technique Continuous Quaternion Wavelet CQWT Efficient Analysis Experimental Result Filtering Theory Image Colour Analysis Image Denoising Image Representation Integral Transforms Local Feature Multiscale Tool Objective Peak-signal-to-noise Ratio Optical, Image And Video Signal Processing Radon Transforms State-of-the-art Denoising Algorithm Structure Similarity Value Structure Tensors Vector-valued Signal Wavelet Transform
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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