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Single color image super-resolution using sparse representation and color constraint | |
Xu Zhigang; Ma Qiang; Yuan Feixiang | |
2020-04 | |
发表期刊 | JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS |
ISSN | 1004-4132 |
卷号 | 31期号:2页码:266-271 |
摘要 | Color 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. |
关键词 | color image sparse representation super-resolution L-2/3 regularization norm color channel constraint |
DOI | 10.23919/JSEE.2020.000004 |
收录类别 | SCI ; SCIE ; EI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[61761028] |
WOS研究方向 | Automation & Control Systems ; Engineering ; Operations Research & Management Science |
WOS类目 | Automation & Control Systems ; Engineering, Electrical & Electronic ; Operations Research & Management Science |
WOS记录号 | WOS:000530866600004 |
出版者 | SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT |
EI入藏号 | 20202008648200 |
EI主题词 | Image texture |
EI分类号 | 723.2 Data Processing and Image Processing - 741.1 Light/Optics - 961 Systems Science |
来源库 | WOS |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/76642 |
专题 | 计算机与通信学院 机电工程学院 |
通讯作者 | Xu Zhigang |
作者单位 | Lanzhou Univ Technol, Sch Comp & Commun, Lanzhou 730050, Peoples R China |
第一作者单位 | 兰州理工大学 |
通讯作者单位 | 兰州理工大学 |
第一作者的第一单位 | 兰州理工大学 |
推荐引用方式 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. |
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Xu-2020-Single color(710KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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