数据采集与处理2016，Vol.31Issue(5)：882-889,8.DOI:10.16337/j.1004-9037.2016.05.004
一种基于分块压缩感知的鲁棒图像散列算法
Robust Image Hashing Based on Block Compressed Sensing
摘要
Abstract
Image hashing is a technique to map a digital image into a content-based and short binary code. It has the properties of robustness,security,compactness and one-wayness,which has been widely ap-plied in the field of image authentication and identification.Here,a robust image hashing algorithm based on block compressed sensing is proposed,using the characteristics of secure computation and linear oper-ation in the sampling stage.In the proposed algorithm,the input image is partitioned into sub-blocks. For each sub-block,random proj ection is applied to it based on the theory of compressed sensing,and a measurement vector can be obtained under the control of the secret key.Then each measurement vector is quantized as one bit and finally a binary hash value can be obtained whose length can be adj usted by the strategy of image partition.Experimental results show that the proposed algorithm has satisfied perform-ance in robustness,security and speed.关键词
图像散列/分块压缩感知/随机投影/图像鉴别Key words
image hashing/block compressed sensing/random proj ection/image authentication分类
信息技术与安全科学引用本文复制引用
朱跃生,莫志威,孙自强..一种基于分块压缩感知的鲁棒图像散列算法[J].数据采集与处理,2016,31(5):882-889,8.基金项目
澳门科学技术发展基金(FDCT0562012A2)资助项目。 （FDCT0562012A2）
