NDLI: A Novel Blind Evaluation Method on Image Scrambling Degree

Content Provider	IEEE Xplore Digital Library
Author	CongLi Wang ZhiBin Chen MingXi Xue Chao Zhang
Copyright Year	2012
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.
Starting Page	631
Ending Page	635
File Size	571987
Page Count	5
File Format	PDF
ISBN	9781467347259
DOI	10.1109/CIS.2012.146
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers uniform noise model Histograms image scrambling blind evaluation Noise image scrambling degree Transforms Indexes gray relation analysis Frequency domain analysis
Content Type	Text
Resource Type	Article

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