联合压缩感知和颜色向量角的彩色图像哈希方法  

Color Image Hashing with Compressive Sensing and Color Vector Angle

作　　者：刘凯[1,2,3] 唐振军[1,2] 张显全[1,2] 俞春强[1] 

机构地区：[1]广西师范大学广西多源信息挖掘与安全重点实验室,广西桂林541004 [2]广西师范大学计算机科学与信息工程学院,广西桂林541004 [3]湖南农业大学理学院,长沙410128

出　　处：《应用科学学报》2015年第6期595-603,共9页Journal of Applied Sciences

基　　金：国家自然科学基金(No.61562007;No.61300109;No.61363034);广西自然科学基金(No.2012GXNSFBA053166);广西高等学校科研项目基金(No.YB2014048);广西多源信息挖掘与安全重点实验室系统性研究基金(No.14-A-02-02;No.13-A-03-01);广西高等学校优秀中青年骨干教师培养工程项目基金(No.GXQG012013059)资助

摘　　要：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.

关 键 词：图像哈希 颜色向量角 压缩感知 测量向量 

分 类 号：TN391[电子电信—物理电子学]