Histogram-based image hashing scheme robust against geometric deformations
Histogram-based image hashing scheme robust against geometric deformations
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DOI：
10.1145/1288869.1288886
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发表时间：
2007-09
影响因子：
--
通讯作者：
Shijun Xiang;Hyoung-Joong Kim;Jiwu Huang
中科院分区：
文献类型：
--
作者：
Shijun Xiang;Hyoung-Joong Kim;Jiwu Huang
本文利用图像直方图形状对几何形变的不变性，提出了一种鲁棒的图像哈希算法。提出的哈希函数的鲁棒性和唯一性进行了详细研究，通过表示直方图形状的相对关系，在两个不同的箱组之间的像素数。通过大量的测试发现，基于直方图的哈希函数对各种几何变形都有令人满意的性能，并且由于在预处理阶段使用了高斯核低通滤波器，对大多数常见的信号处理操作也具有鲁棒性。
In this paper, we propose a robust image hash algorithm by using the invariance of the image histogram shape to geometric deformations. Robustness and uniqueness of the proposed hash function are investigated in detail by representing the histogram shape as the relative relations in the number of pixels among groups of two different bins. It is found from extensive testing that the histogram-based hash function has a satisfactory performance to various geometric deformations, and is also robust to most common signal processing operations thanks to the use of Gaussian kernel low-pass filter in the preprocessing phase.