Digital image scrambling can change histogram distribution of original image, It plays an important role in the image encryption. Research of grayscale scrambling effect in the field of information hiding has important significance. The existing evaluation algorithm is analyzed based on histogram similarity degree, finds out the deficiency, proposes reasonable grayscale scrambling basis for evaluation, and further proposes further new evaluation algorithm of grayscale scrambling evenness.%数字图像的灰度置乱能够改变原图像的直方图分布,在图像加密中扮演着比较重要的角色.灰度置乱效果的研究在信息隐藏领域中有重要意义.分析了现有的基于直方图相似度的评价算法,找出了其存在的不足,提出了合理的灰度置乱均匀的评价依据,并根据此依据进一步提出了新的灰度置乱均匀度的评价算法.
展开▼
