Study on image scrambling degree based on fuzzy subsethood theory
Tieniu Tan · Journal of Xi'an University of Post and Telecommunications · 2009
The new image scrambling degree evaluation method based on fuzzy subsethood 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 subsethood measure between the fuzzy set of two order neighbor system and its fuzzy complement set is computed,finally the evaluation function of image scrambling degree is constructed by means of the fuzzy subsethood 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.