Image Super-resolution Reconstruction Algorithm Based on Clustering

	Image Super-resolution Reconstruction Algorithm Based on Clustering
	Zhao Xiaoqiang 2; Jia Yunxia 1
	2015
关键词	Super-resolution reconstruction The sparse representation Clustering Dictionary training
页码	6144-6148
英文摘要	In view of the single frame image super-resolution reconstruction, this paper combined with sparse representation algorithm is proposed based on clustering image super-resolution reconstruction algorithm. First to sample the input image classification, clustering and for each class of training samples accordingly subdictionaries training, learning, with high and low resolution of the dictionary. Finally using the high resolution image block of dictionary and the product of the sparse representation to the low resolution image reconstruction, the experimental results show that this algorithm can effectively improve the quality of reconstruction image. In this article, through the simulation experiment and compares the traditional interpolation method, Elad method, verified the validity of the algorithm is proposed in this paper.
会议录	2015 27TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	中文
WOS研究方向	Automation & Control Systems ; Engineering
WOS记录号	WOS:000375232901107
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36553]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Univ Tech, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Gansu Mfg Informationizat Engn Technol Res Ctr, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Zhao Xiaoqiang,Jia Yunxia. Image Super-resolution Reconstruction Algorithm Based on Clustering[C]. 见:.