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Color Image Denoising Using Quaternion Adaptive Non-Local Coupled Means
Li, Xiaoyao1,2; Zhou, Yicong2; Zhang, Jing1
2019-09
Conference Name26th IEEE International Conference on Image Processing, ICIP 2019
Source PublicationProceedings - International Conference on Image Processing, ICIP
Volume2019-September
Pages1810-1814
Conference Date2019/09/22-2019/09/25
Conference PlaceTaipei, Taiwan
Abstract

Because quaternion representation is able to preserve the relationship among RGB channels of a color image, we take advantage of this characteristic and propose a new color image denoising method, named the Quaternion Adaptive Non-local Coupled Means (QANLCM). QANLCM first builds a four-variable optimization model by decomposing the original noisy image into a luminance component and a chromaticity component, and then alternatively updates the four variables in each denoising iteration. Simulations and comparisons demonstrate that QANLCM shows a superiority to other non-local means methods in removing Gaussian noise from color images.

KeywordColor Image Denoising Non-local Means Quaternion Adaptive Non-local Coupled Means
DOI10.1109/ICIP.2019.8803209
URLView the original
Indexed ByCPCI-S
Language英語English
WOS Research AreaImaging Science & Photographic Technology
WOS SubjectImaging Science & Photographic Technology
WOS IDWOS:000521828601188
Scopus ID2-s2.0-85076811960
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Citation statistics
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Faculty of Science and Technology
Affiliation1.College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China
2.Department of Computer and Information Science, University of Macau, 999078, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Li, Xiaoyao,Zhou, Yicong,Zhang, Jing. Color Image Denoising Using Quaternion Adaptive Non-Local Coupled Means[C], 2019, 1810-1814.
APA Li, Xiaoyao., Zhou, Yicong., & Zhang, Jing (2019). Color Image Denoising Using Quaternion Adaptive Non-Local Coupled Means. Proceedings - International Conference on Image Processing, ICIP, 2019-September, 1810-1814.
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