Study on image scrambling degree based on fuzzy divergence theory
Tieniu Tan · Computer Engineering and Applications Journal · 2008
The new image scrambling degree evaluation method based on fuzzy divergence theory is proposed.This paper firstly constructs the fuzzy set of two order neighbor system of image pixel and defines its membership,then the fuzzy divergence between the fuzzy set of two order neighbor system and its fuzzy complement set is computed,last the evaluation function of image scrambling degree is constructed by means of the fuzzy divergence of primary image and scrambled image.Experimental 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.