Image scrambling evaluation method of uniform distribution
Jian Zhang · Computer Engineering and Applications Journal · 2009
Although more and more scrambling algorithms are presented,such as Arnold cat transformation,magic square transformation,Hilbert transformation and scrambling based on chaos,they lack a method to evaluate the image scrambling degree. Existing methods aim at a certain scrambling transformation,and the versatility is not better.From uniform distribution,it defines an ideal scrambling model,and according to the character of ideal scrambling,an image scrambling evaluation method is presented.Through comparing the deviation of scrambling degree and ideal state,the scrambling effect can be estimated accurately. Apply Matlab to the simulation experiment of Arnold cat transformation,the result indicates that the method can evaluate image scrambling degree well,and it accordes with people's vision too.To an image of 256×256,the block of 8×8,16×16 can get the more effect.