Image Scrambling Degree Evaluation Algorithm Based on Grey Relation Analysis

In order to objectively and automatically evaluate the degree of digital image scrambling, introduce the grey relation analysis theory, the paper proposes a new evaluation method of image scrambling. In the method, the definition and the feature of the ideal scrambling image are analyzed first, whose histogram is summarized at the same time. And then, the scrambling image is divided into some sub-images to construct some histogram sequences, and make these sequences be small samples sequences. Finally the gray relevancy of every two sequences using gray relation analysis is calculated to evaluate the image scrambling degree. Two kinds of experimental results indicate that compared with the method based SNR, the proposed method is not only efficient, flexible, running without the origin image involved, but also can provide with some conclusions which are consistent with the perception of human visual system.