Study on image scrambling degree evaluation based on fuzzy similarity measure theory
Tieniu Tan · Jisuanji gongcheng yu sheji · 2009
The new image scrambling degree evaluation method based on fuzzy approach measure theory is proposed.The fuzzy set of two order neighbor system of image pixel is firstly constructed and its membership is defined,then the fuzzy entropy 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 approach measure 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.