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基于直方图量化和混沌系统的感知图像Hashing算法
引用本文:邓绍江,王方晓,张岱固,王瑜. 基于直方图量化和混沌系统的感知图像Hashing算法[J]. 计算机应用, 2008, 28(11): 2804-2807
作者姓名:邓绍江  王方晓  张岱固  王瑜
作者单位:重庆大学,计算机学院,重庆,400044;重庆农村商业银行,科技信息部,重庆,400020
基金项目:国家自然科学基金,重庆市自然科学基金,中国博士后科学基金
摘    要:研究了基于图像灰度级压缩的直方图差值量化(DQH)技术,并结合混沌系统,提出了一种新的感知图像Hashing算法。算法首先利用混沌系统把压缩后的图像中各个灰度级的出现概率调制成一个固定长度的中间Hash序列;然后将中间Hash序列经过差值量化和二值量化得到最终的图像Hash序列。仿真结果表明,该算法对JPEG压缩、低通滤波、图像缩放和旋转等操作有良好的鲁棒性,而且混沌系统的引入使算法具有较强的安全性。

关 键 词:图像Hash  差值量化  混沌系统  直方图
收稿时间:2008-05-29
修稿时间:2008-07-25

Perceptual image hashing algorithm based on difference quantization of histogram and chaos system
DENG Shao-jiang,WANG Fang-xiao,ZHANG Dai-gu,WANG Yu. Perceptual image hashing algorithm based on difference quantization of histogram and chaos system[J]. Journal of Computer Applications, 2008, 28(11): 2804-2807
Authors:DENG Shao-jiang  WANG Fang-xiao  ZHANG Dai-gu  WANG Yu
Affiliation:DENG Shao-jiang1,WANG Fang-xiao1,ZHANG Dai-gu1,WANG Yu2(1.College of Computer Science,Chongqing University,Chongqing 400044,China,2.Department of Science , Technology,Chongqing Rural Commercial Bank,Chongqing 400020,China)
Abstract:Difference Quantization of Histogram (DQH) based on image grayscale compression was studied, as well as chaos system. A new perceptual image hashing algorithm was proposed. To begin with, the image was compressed in grayscales. After that, intermediate image hash was obtained form modulation between chaos sequence and the probability sequence of every grayscale of the compressed image. At last, final image hash was generated by binarization and DQH. The experimental results show that the proposed scheme is robust against JPEG compression, low-pass filtering, scaling and rotation attacks. Additionally, the chaos system obviously enhances the security.
Keywords:image hash  difference quantization  chaos system  histogram
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