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小波变换和菲涅耳变换的多彩色图像加密

曾健清, 王君, 陈叶, 刘琦

曾健清, 王君, 陈叶, 刘琦. 小波变换和菲涅耳变换的多彩色图像加密[J]. 激光技术, 2018, 42(6): 733-738. DOI: 10.7510/jgjs.issn.1001-3806.2018.06.002
引用本文: 曾健清, 王君, 陈叶, 刘琦. 小波变换和菲涅耳变换的多彩色图像加密[J]. 激光技术, 2018, 42(6): 733-738. DOI: 10.7510/jgjs.issn.1001-3806.2018.06.002
ZENG Jianqing, WANG Jun, CHEN Ye, LIU Qi. Multiple-color-image compression and encryption by using discrete wavelet transform in Fresnel transform domain[J]. LASER TECHNOLOGY, 2018, 42(6): 733-738. DOI: 10.7510/jgjs.issn.1001-3806.2018.06.002
Citation: ZENG Jianqing, WANG Jun, CHEN Ye, LIU Qi. Multiple-color-image compression and encryption by using discrete wavelet transform in Fresnel transform domain[J]. LASER TECHNOLOGY, 2018, 42(6): 733-738. DOI: 10.7510/jgjs.issn.1001-3806.2018.06.002

小波变换和菲涅耳变换的多彩色图像加密

基金项目: 

总装备部装备预先研究资助项目 JZX2016-0606/Y267

详细信息
    作者简介:

    曾健清(1991-), 男, 硕士研究生, 主要研究方向是光学图像加密和全息3-D

    通讯作者:

    王君, E-mail:jwang@scu.edu.cn

  • 中图分类号: O438

Multiple-color-image compression and encryption by using discrete wavelet transform in Fresnel transform domain

  • 摘要: 为了解决多彩色图像加密后,解密图像质量不佳、数据量大以及传输时速率慢的问题,采用了一种基于小波变换和菲涅耳变换的多彩色图像加密方法,加密过程中,利用小波变换的多级分解特性提取每幅彩色图像的低频分量,将低频分量分别重组为三元组图像(RGB),并且依次将三元组图像(RGB)通过菲涅耳域中的衍射加密系统,对这3个三元组图像进一步加密,从而实现了多彩色图像的加密。结果表明,该方法不仅可以高质量地恢复原始彩色图像,而且可以同时对4幅彩色图像进行加密,提高了加密彩色图像的容量;原始图像经过小波变换,其数据量压缩到原来的1/4,有利于数据的传输和存储。该算法能够有效地同时对多幅色彩图像进行压缩和加密,不仅提高了解密图像的质量,并且具有较高的密钥敏感度和较好的鲁棒性。
    Abstract: In order to solve the problems of the low quality of image, the large amount of data and the slow rate of transmission, an optical compression and encryption method of multiple-color images by using discrete wavelet transform in Fresnel transform domain had been proposed. In the process of encryption, the low-frequency components of each color image were extracted by using the multilevel decomposition characteristics of wavelet transform, and the low frequency components were reorganized to triplet images (R, G and B), respectively. And the triplet images (R, G and B) were sequentially encrypted through the diffraction encryption system in the Fresnel domain. After triplet images were further encrypted, the encryption of multi-color images was realized. The results show that, the method can not only reconstruct the original color image with high quality, but also encrypt 4 color-images at the same time, which increases the capacity of the encrypted color image. The data volume of the encryption is compressed 1/4 after wavelet transform, which is beneficial to the transmission and storage of the data. The algorithm can effectively compress and encrypt multiple-color images at the same time. It not only improves the quality of the decrypted image, but also has high key sensitivity and good robustness.
  • Figure  1.   Schematic diagram of the proposed encryption scheme

    Figure  2.   Optical graph of 2-D wavelet transform

    Figure  3.   Optical setup for the proposed optical security system

    Figure  4.   Image encryption

    Figure  5.   The decryption of images

    Figure  6.   Gray-level histograms and auto-correlation pictures before and after encryption

    Figure  7.   E curves of the decrypted color images

    Figure  8.   Results of incorrect phase mask key

    Figure  9.   The restored images after adding the salt-and-pepper noise

    Figure  10.   Robustness against occlusion attack

    Table  1   Cxy values of the decrypted images

    Cxy values peppers tress lake fruits
    the proposal 0.9939 0.9960 0.9833 0.9974
    reference [18] 0.9411 0.8746 0.8512 0.8574
    下载: 导出CSV

    Table  2   Cxy values of the decrypted images after noise

    salt-and-pepper noise with different stand deviation Cxy values of decrypted images
    pepper tress lake fruits
    k=0.8 0.9180 0.9592 0.9538 0.9424
    k=1 0.9035 0.9526 0.9470 0.9345
    下载: 导出CSV

    Table  3   Cxy values of the corresponding decrypted images after occlusion

    occlusion of the encrypted image/% Cxy values of decrypted images
    pepper tress lake fruits
    25% 0.6525 0.7702 0.7606 0. 7082
    50% 0.3943 0.5383 0.5137 0.4685
    下载: 导出CSV
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出版历程
  • 收稿日期:  2018-01-23
  • 修回日期:  2018-04-03
  • 发布日期:  2018-11-24

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