Evaluation of image scrambling effect using pulse coupled neural network
Tieniu Tan · Computer Engineering and Applications Journal · 2009
A novel method for image scrambling effect evaluation based on pulse coupled neural network in this paper.Pulse coupled neural network hails from the researching result of mammal vision cortex neuron,and it is extensively applied in many fields of image processing.This paper makes use of pulse coupled neural network to realize image feature extraction,then analyzes difference degree of feature vectors extracted from raw and scrambled images by mean of pulse coupled neural network,last puts forward the evaluation function of image scrambling effect.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.