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[求助]
帮忙查下检索号,谢谢虫子们
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那位虫子能帮我查下EI有没有检索,如检索检索号是什么啊,信息如下: 题目:A Novel Blind Evaluation Method on Image Scrambling Degree, 作者:CongLi Wang, ZhiBin Chen , MingXi Xue ,Chao Zhang, 会议:CIS2012.广州 万分感谢啊 |
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licong9527
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紫黛微颦: 金币+5, ★★★★★最佳答案 2013-03-06 21:07:43
感谢参与,应助指数 +1
紫黛微颦: 金币+5, ★★★★★最佳答案 2013-03-06 21:07:43
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Accession number: 20130716023352 Title: A novel blind evaluation method on image scrambling degree Authors: Wang, CongLi1 ; Chen, ZhiBin1 ; Xue, MingXi1 ; Zhang, Chao1 Author affiliation: 1 Mechanical Engineering College, Shi Jia Zhuang, He Bei, 050003, China Corresponding author: Wang, C. (cong7592@tom.com) Source title: Proceedings of the 2012 8th International Conference on Computational Intelligence and Security, CIS 2012 Abbreviated source title: Proc. Int. Conf. Comput. Intell. Secur., CIS Monograph title: Proceedings of the 2012 8th International Conference on Computational Intelligence and Security, CIS 2012 Issue date: 2012 Publication year: 2012 Pages: 631-635 Article number: 6407386 Language: English ISBN-13: 9780769548968 Document type: Conference article (CA) Conference name: 2012 8th International Conference on Computational Intelligence and Security, CIS 2012 Conference date: November 17, 2012 - November 18, 2012 Conference location: Guangzhou, Guangdong, China Conference code: 95432 Sponsor: Xidian University; Beijing Normal University; EEE CPS Publisher: IEEE Computer Society, 2001 L Street N.W., Suite 700, Washington, DC 20036-4928, United States Abstract: Most of the algorithms for evaluating image scrambling degree depend on the plain image and they cannot achieve blind evaluation. This paper indicates that the ideal scrambled image is similar to the uniform noise in spatial domain, advances a definition of ideal image scrambling which is independent of the plain image and designs a new evaluating index. In frequency domain, the gray relational degree, which is between mean sequence of scrambling image's FFT (Fast Fourier Transform) block and referential sequence, is calculated by gray relation analysis (GRA). Then a blind evaluation approach which combines the approaches of spatial and frequency domains together is presented. Experimental results show that this approach can be operated without depending on the knowledge of plain image and is in good agreement with human vision system (HVS). So this approach can achieve the goal of blind evaluation objectively and possesses high practicality. © 2012 IEEE. Number of references: 12 Main heading: Network security Controlled terms: Artificial intelligence - Computer vision - Fast Fourier transforms Uncontrolled terms: Blind evaluations - Evaluating index - FFT (fast Fourier transform) - Frequency domains - Gray relation analysis - Gray relational degrees - Human vision systems - Ideal images - Image scrambling - Noise models - Scrambled images - Spatial and frequency domain - Spatial domains Classification code: 723 Computer Software, Data Handling and Applications - 921.3 Mathematical Transformations DOI: 10.1109/CIS.2012.146 Database: Compendex |

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licong9527
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