联合压缩感知和颜色向量角的彩色图像哈希方法

doi:10.3969/j.issn.0255-8297.2015.06.003

Journal of Applied Sciences ›› 2015, Vol. 33 ›› Issue (6): 595-603.doi: 10.3969/j.issn.0255-8297.2015.06.003

• Special Issue: Information Security of Multimedia Contents • Previous Articles Next Articles

Color Image Hashing with Compressive Sensing and Color Vector Angle

LIU Kai^1,2,3, TANG Zhen-jun^1,2, ZHANG Xian-quan^1,2, YU Chun-qiang¹

1. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin 541004, Guangxi Province, China;
2. College of Computer Science and Information Technology, Guangxi Normal University, Guilin 541004, Guangxi Province, China;
3. College of Science, Hunan Agriculture University, Changsha 410128, China

Received:2015-04-23 Revised:2015-06-10 Online:2015-11-30 Published:2015-11-30

Abstract

Abstract: 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.

Key words: image hash, color vector angle, measurement vector, compressive sensing

CLC Number:

TN391

LIU Kai, TANG Zhen-jun, ZHANG Xian-quan, YU Chun-qiang. Color Image Hashing with Compressive Sensing and Color Vector Angle[J]. Journal of Applied Sciences, 2015, 33(6): 595-603.

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Color Image Hashing with Compressive Sensing and Color Vector Angle

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