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	A Novel Dictionary Design Algorithm for Sparse Representations
	Liao, Yinghao ; Xiao, Quan ; Ding, Xinghao ; Guo, Donghui ; Liao YH(廖英豪) ; Ding XH(丁兴号) ; Guo DH(郭东辉)
	2009
关键词	WAVELET-DOMAIN
英文摘要	Conference Name:2nd International Joint Conference on Computational Sciences and Optimization (CSO). Conference Address: Sanya, PEOPLES R CHINA. Time:APR 24-26, 2009.; Sparse representation based on over-complete dictionary is a new signal representation theory. Recent activity in this field concentrated mainly on the study of sparse decomposition algorithm and dictionary design algorithm. In this paper, a novel dictionary design algorithm called K-LMS is proposed It generalized the K-Means clustering process, for adapting dictionaries to achieve sparse representation of signals. As regards to the image denoising, a new denoising method is introduced With the application of image's sparse representations in over-complete dictionary, it reconstructs a simple threshold to realize image denoising. Experimental results demonstrate the effectiveness of the proposed method.
语种	英语
出处	http://dx.doi.org/10.1109/CSO.2009.357
出版者	IEEE COMPUTER SOC
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86437]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Liao, Yinghao,Xiao, Quan,Ding, Xinghao,et al. A Novel Dictionary Design Algorithm for Sparse Representations. 2009-01-01.

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