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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
DOI10.3923/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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