Journal of Computer Applications ›› 2018, Vol. 38 ›› Issue (2): 539-544.DOI: 10.11772/j.issn.1001-9081.2017071892

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Encrypted image retrieval algorithm based on discrete wavelet transform and perceptual hash

ZHANG Chunyan1,2, LI Jingbing1, WANG Shuangshuang2   

  1. 1. College of Information Science and Technology, Hainan University, Haikou Hainan 570228, China;
    2. State Key Laboratory of Marine Resource Utilization in South China Sea(Hainan University), Haikou Hainan 570228, China
  • Received:2017-08-04 Revised:2017-09-04 Online:2018-02-10 Published:2018-02-10
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61263033).

基于离散小波变换和感知哈希的加密医学图像检索算法

张春艳1,2, 李京兵1, 王双双2   

  1. 1. 海南大学 信息科学技术学院, 海口 570228;
    2. 南海海洋资源利用国家重点实验室(海南大学), 海口 570228
  • 通讯作者: 李京兵
  • 作者简介:张春艳(1993-),女,海南海口人,硕士研究生,主要研究方向:数字图像处理、多媒体信息安全;李京兵(1966-),男,河北邯郸人,教授,博士,CCF会员,主要研究方向:数字图像处理、多媒体信息安全;王双双(1991-),女,河南商丘人,硕士研究生,主要研究方向:数字图像处理、多媒体信息安全。
  • 基金资助:
    国家自然科学基金资助项目(61263033)。

Abstract: Focusing on medical image secure retrieval in cloud server, an encrypted medical image retrieval algorithm based on Discrete Wavelet Transform (DWT) and perceptual hash was proposed. Firstly, the image was encrypted in frequency domain based on the characteristics of Henon mapping. Secondly, the encrypted medical image was decomposed by wavelet to obtain the sub-image close to the original image. According to the characteristics of Discrete Cosine Transform (DCT), the perceptual hash sequence of the image was obtained by comparing the relationship between the coefficients of DCT and the mean of the coefficients. Finally, the encrypted medical image retrieval was achieved by comparing the normalized correlation coefficients between the perceived hash sequences. Compared with the hash algorithm based on Non-negative Matrix Factorization (NMF), the proposed algorithm improves the retrieval accuracy by nearly 40% under Gaussian noise, which is not changed obviously under the JPEG compression attack, median filter attack, scaling attack and ripple distortion attack. Experimental results show that the proposed algorithm has strong robustness against geometric attack and conventional attack, as well as reduce the time complexity of image encryption.

Key words: wavelet decomposition, Discrete Cosine Transform (DCT), Henon mapping, perceptual Hash, normalized correlation coefficient, robustness

摘要: 针对加密存储在云服务器的医学图像安全检索问题,提出基于离散小波变换(DWT)和感知哈希的加密医学图像检索算法。首先结合Henon映射的特点对图像进行频域加密运算;然后,对加密医学图像进行小波分解,得到逼近原图的子图;其次,根据离散余弦变换(DCT)的特性,通过比较DCT各系数与系数均值的关系得到图像的感知哈希序列;最后通过比较感知哈希序列之间的归一化相关系数来实现对加密医学图像检索。与基于非负矩阵分解(NMF)的哈希算法相比,所提算法在高斯噪声下检索精度提高了近40%,且在JPEG压缩攻击、中值滤波攻击、缩放攻击和扭曲攻击下检索精度与之相差无几。实验结果表明,所提算法对于常规攻击和几何攻击具有较好的鲁棒性,同时降低了图像加密的时间复杂度。

关键词: 小波分解, 离散余弦变换, Henon映射, 感知哈希, 归一化相关系数, 鲁棒性

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