提出一种联合压缩感知和颜色向量角的彩色图像哈希方法.该方法先对输入图像进行预处理,并计算其颜色向量角矩阵,然后对矩阵进行非重叠分块,再将每一块进行压缩感知测量,用测量向量的均值构成哈希值.实验表明,该方法对常见数字操作稳健并有良好的唯一性,分类性能优于3种现有方法.
This paper presents a hashing method for color images based on compressive sensing and color vector angles. In the preprocessing the input image is first normalized. The normalized image is then converted to a color vector angle matrix, which is further divided into non-overlapping blocks. Compressive sensing is applied to each block, and the mean of measurement vector is used to form the image hash. Experiments show that the proposed method is robust against normal digital operations, has good discrimination capability, and outperforms three existing methods.
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