Image scrambling performance blind evaluation based on grey block analysis
Tian Hong-pen · Computer Engineering and Applications Journal · 2009
In order to evaluate the image scrambling degree effectively,a novel evaluation method on image scrambling is designed.In the method,the characteristics of the ideal scrambled image is analyzed,and a reference sequence is constructed.And then after the scrambled image is divided into several blocks,and the variances of each block-image is abstracted to form a comparatives sequence.Finally the gray relational degree between the two kinds of sequence is calculated to evaluate the image scrambling degree via gray relation analysis.Experimental results show that the method not only is simple and fast,but also can do without the origin image.Compared with some existing methods,it provides with more reasonable results.