Color super-resolution reconstruction based on a novel variation model | |
Xu, Zhigang; Zhu, Honglei | |
刊名 | Journal of Applied Sciences |
2013 | |
卷号 | 13期号:15页码:3073-3078 |
关键词 | Color Optical resolving power Stairs Adaptive regularization Fuzzy entropy Structural feature Super resolution Total variation |
ISSN号 | 18125654 |
DOI | 10.3923/jas.2013.3073.3078 |
英文摘要 | This study proposes a new color image super-resolution method in an adaptive and robust framework. In the framework, three channels of color images are reconstructed, respectively. Total variation regularization is used for edge preservation of single-channel component. In order to overcome the shortcoming of the total variation model which often leads to generate an undesirable staircase effect, a spatial adaptive function was designed based on locally structural features of images. This function was used to couple the low-order total-variation model with the beyond digital total-variation model. Then, an adaptive variational color super-resolution algorithm of image sequences was proposed to preserve image edge structures and remove the color staircase effect. Experimental results on real images were presented which demonstrate the effectiveness of the proposed method. © 2013 Asian Network for Scientific Information. |
语种 | 英语 |
出版者 | Asian Network for Scientific Information, 308-Lasani Town, Sargodha Road, Faisalabad, Pakistan |
内容类型 | 期刊论文 |
源URL | [http://ir.lut.edu.cn/handle/2XXMBERH/113201] |
专题 | 计算机与通信学院 |
作者单位 | School of Computer and Communication, Lanzhou University of Technology, No. 287, Langongping Road, Qilihe District, Lanzhou 730050, Gansu, China |
推荐引用方式 GB/T 7714 | Xu, Zhigang,Zhu, Honglei. Color super-resolution reconstruction based on a novel variation model[J]. Journal of Applied Sciences,2013,13(15):3073-3078. |
APA | Xu, Zhigang,&Zhu, Honglei.(2013).Color super-resolution reconstruction based on a novel variation model.Journal of Applied Sciences,13(15),3073-3078. |
MLA | Xu, Zhigang,et al."Color super-resolution reconstruction based on a novel variation model".Journal of Applied Sciences 13.15(2013):3073-3078. |
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