Image scrambling degree evaluation method based on standard deviation

摘要：

We provide a new method to evaluate the image scrambling degree. Firstly, we divide the scrambled image into suitable blocks, and assume the ideal state of scrambling is the pixels of all gray levels are uniformly distributed throughout the blocks, calculate the standard deviation of every gray level in each scrambling stage, then take a weighted average, and use the reciprocal of average to evaluate the image scrambling degree. The experiment results under Arnold transformation and sub-affine transformation show that the method is simple, effective and accordant with visual observation.

关键词： image scrambling scrambling degree standard deviation

作者: Hong-Lei Li Wen-Cai Du Xiao-Ming Yao

作者单位: College of information science and technology, Hainan University, Haikou, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 119-122

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）