Image scrambling degree evaluation method based on GRA
Xueli He · Jisuanji yingyong yanjiu · 2009
In order to evaluate the image scrambling degree effectively,introducing the grey relation analysis theory,and then suggested a new method of image scrambling.The method firstly divided the scrambled image into several blocks,then computed the average of every line pixel values in the sub-images to static the gray information sequence of each blocks,and made these sequences be small samples sequences.Finally calculated the gray relevancy of every two sequences using gray relation analysis to evaluate the image scrambling degree.Experimental results show that the method can efficiently evaluate the scrambling effect of different scrambling transformation,running without the origin image involved.Compared with SNR,it can eva-luate the scrambling effect more objectively and be consistent with the perception of human visual system.