Evaluation of image scrambling degree utilizing fuzzy entropy theory
Tieniu Tan · Computer Engineering and Applications Journal · 2009
The new image scrambling degree evaluation method based on fuzzy entropy theory is proposed.This paper firstly con- structs the fuzzy set of two-order neighbor system of image pixel and defines its membership function,and then the fuzzy entropy of the fuzzy set that is composed of the pixel belonging to two-order neighbor system is computed,and finally the evaluation function of image scrambling degree is constructed by means of the fuzzy entropy of original image and scrambled image.Experi- mental results show that the proposed method is effective to describe the relation between the scrambling effect and the number of iterations in the scrambling techniques,which largely consists with human vision.For different images,when some transformation is used,this evaluation method can reflect to some extent the scrambling effects in each scrambling stage.