Image Encryption Performance Evaluation Based on Poker Test

Abstract

The fast development of image encryption requires performance evaluation metrics. Traditional metrics like entropy do not consider the correlation between local pixel and its neighborhood. These metrics cannot estimate encryption based on image pixel coordinate permutation. A novel effectiveness evaluation metric is proposed in this paper to address the issue. The cipher text image is transformed to bit stream. Then, Poker Test is implemented. The proposed metric considers the neighbor correlations of image by neighborhood selection and clip scan. The randomness of the cipher text image is tested by calculating the chi-square test value. Experiment results verify the efficiency of the proposed metrics.

Evaluation of the quality of an image encrytion scheme

“…A number of novel tests and analyses have been introduced and these tests have been classified into various categories. Notably, Li et al [18] classified objective evaluation into two namely: reference and non-reference objective evaluation. Objective evaluation is done with the reference or original image in use whilst a non-reference evaluation does not rely on the reference image.…”