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FDCT on the edge of the image detail enhancement improvement
Zhang, Yong; Qian, Yan
2014
会议日期April 18, 2014 - April 20, 2014
会议地点Changsha, China
关键词Intelligent systems Adaptive threshold method Adaptive thresholds Cyclic shifts Fast discrete curvelet transform (FDCT) FDCT Information preservations Peak signal-to-noise ratio USFFT and wrap
卷号610
DOI10.4028/www.scientific.net/AMM.610.443
页码443-448
英文摘要Image edge details contains a rich amount of informations, enhancing edge details is the key of image post-processing. Traditional enhancement methods often lead to edge detail information lost. Fortunately, we find the curvelet transform good performance to reflect the detail information in the edge. In this paper, we add Wrap step to USFFT algorithm based on the Fast Discrete Curvelet Transform (FDCT), and adopt cyclic shift method and Er iteration. At the same time, we adopt adaptive threshold method. In order to get the objective evaluation result, comparing the wavelet algorithm and FDCT to the proposed method, we select peak signal-to-noise ratio. Experimental results show that the proposed method is not only superior to wavelet method, but also superior to single FDCT in the edge and detail information preservation. © (2014) Trans Tech Publications, Switzerland.
会议录Applied Mechanics and Materials
会议录出版者Trans Tech Publications Ltd
语种英语
ISSN号16609336
内容类型会议论文
源URL[http://ir.lut.edu.cn/handle/2XXMBERH/117510]  
专题兰州理工大学
作者单位School of Computer and Communication, Lanzhou University of Technology, No. 287 of Lan gong-ping Road, Qi li-he District, Lanzhou, China
推荐引用方式
GB/T 7714
Zhang, Yong,Qian, Yan. FDCT on the edge of the image detail enhancement improvement[C]. 见:. Changsha, China. April 18, 2014 - April 20, 2014.
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