Single color image super-resolution using sparse representation and color constraint
Xu Zhigang; Ma Qiang; Yuan Feixiang
2020-04
Source PublicationJOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS
ISSN1004-4132
Volume31Issue:2Pages:266-271
AbstractColor image super-resolution reconstruction based on the sparse representation model usually adopts the regularization norm (e.g., L-1 or L-2). These methods have limited ability to keep image texture detail to some extent and are easy to cause the problem of blurring details and color artifacts in color reconstructed images. This paper presents a color super-resolution reconstruction method combining the L-2/3 sparse regularization model with color channel constraints. The method converts the low-resolution color image from RGB to YCbCr. The L-2/3 sparse regularization model is designed to reconstruct the brightness channel of the input low-resolution color image. Then the color channel-constraint method is adopted to remove artifacts of the reconstructed high-resolution image. The method not only ensures the reconstruction quality of the color image details, but also improves the removal ability of color artifacts. The experimental results on natural images validate that our method has improved both subjective and objective evaluation.
Keywordcolor image sparse representation super-resolution L-2/3 regularization norm color channel constraint
DOI10.23919/JSEE.2020.000004
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[61761028]
WOS Research AreaAutomation & Control Systems ; Engineering ; Operations Research & Management Science
WOS SubjectAutomation & Control Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science
WOS IDWOS:000530866600004
PublisherSYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.lut.edu.cn/handle/2XXMBERH/76642
Collection计算机与通信学院
Corresponding AuthorXu Zhigang
AffiliationLanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China
First Author AffilicationLanzhou University of Technology
Corresponding Author AffilicationLanzhou University of Technology
First Signature AffilicationLanzhou University of Technology
Recommended Citation
GB/T 7714
Xu Zhigang,Ma Qiang,Yuan Feixiang. Single color image super-resolution using sparse representation and color constraint[J]. JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS,2020,31(2):266-271.
APA Xu Zhigang,Ma Qiang,&Yuan Feixiang.(2020).Single color image super-resolution using sparse representation and color constraint.JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS,31(2),266-271.
MLA Xu Zhigang,et al."Single color image super-resolution using sparse representation and color constraint".JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS 31.2(2020):266-271.
Files in This Item:
There are no files associated with this item.
Related Services
Usage statistics
Google Scholar
Similar articles in Google Scholar
[Xu Zhigang]'s Articles
[Ma Qiang]'s Articles
[Yuan Feixiang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu Zhigang]'s Articles
[Ma Qiang]'s Articles
[Yuan Feixiang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu Zhigang]'s Articles
[Ma Qiang]'s Articles
[Yuan Feixiang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.