Image steganography based on digital holography and saliency map

被引:0
|
作者
Zou, Wenbin [1 ]
Zhuang, Zhaoyong [1 ]
Jiao, Shuming [1 ]
Zhang, Lu [2 ]
Kpalma, Kidiyo [2 ]
机构
[1] Shenzhen Univ, Coll Informat Engn, Shenzhen Key Lab Adv Machine Learning & Applicat, Shenzhen, Guangdong, Peoples R China
[2] Univ Rennes, INSA Rennes, CNRS, IETR UMR 6164, Rennes, France
关键词
digital holography; embed; steganography; saliency regions; image quality; watermarking; EMBEDDING INTENSITY IMAGE; FRESNEL HOLOGRAM; WATERMARKING; PROTECTION; TRANSFORM;
D O I
10.1117/1.OE.58.1.013102
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
A gray-level intensity image can be employed as a host image for hiding a watermark image to protect information security. Past research works demonstrate that a gray-level hidden image can be embedded into the host image by a digital phase-only holography method. However, the fidelity of retrieved watermark image from the host image is not very satisfactory and the host image quality is degraded due to the insertion of external data bits, especially when observers focus on the saliency regions in the host image. To address this problem, we propose a steganography method based on digital holography and the saliency map of the host image. First, we calculate the hidden capacity (number of bits to be replaced) for each host image pixel based on the weighted sum of pixel intensity and saliency value. Next, a multilevel phase-only digital hologram of the watermark image will be calculated by the Gerchberg-Saxton method under the constraint of the hidden capacity of host image. Finally, we embedded the multilevel phase-only digital hologram into the host image by replacing a corresponding number of bits in each pixel. In this way, the host image can preserve good image fidelity for its saliency regions even if we hide a large amount of digital hologram data into the host image. The experimental results show that the quality of retrieved watermark image from the host image and the quality of saliency regions in the watermarked host image, in our proposed scheme, are superior to the state-of-the-art works reported. (C) 2019 Society of Photo-Optical Instrumentation Engineers (SPIE)
引用
收藏
页数:8
相关论文
共 50 条
  • [31] Research of digital watermarking based on DWT and holography image
    Xia Fei
    Zhang Hao
    Peng Daogang
    Li Hui
    Xu Longhu
    PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 1505 - 1509
  • [32] Image steganography based on a new hybrid chaos map and discrete transforms
    Sharafi, J.
    Khedmati, Y.
    Shabani, M. M.
    OPTIK, 2021, 226
  • [33] A new adaptive image steganography scheme based on DCT and chaotic map
    Saidi, Marwa
    Hermassi, Houcemeddine
    Rhouma, Rhouma
    Belghith, Safya
    MULTIMEDIA TOOLS AND APPLICATIONS, 2017, 76 (11) : 13493 - 13510
  • [34] A new digital image steganography algorithm based on visible wavelength
    Coskun, Ibrahim
    Akar, Feyzi
    Cetin, Ozdemir
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2013, 21 (02) : 548 - 564
  • [35] On the Comparison of Digital Image Steganography Algorithm Based on DCT and Wavelet
    Saejung, S.
    Boondee, A.
    Preechasuk, J.
    Chantrapornchai, C.
    2013 INTERNATIONAL COMPUTER SCIENCE AND ENGINEERING CONFERENCE (ICSEC), 2013, : 328 - 333
  • [36] Digital Image Authentication Model Based on Edge Adaptive Steganography
    Grover, Nidhi
    Mohapatra, A. K.
    2013 SECOND INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING, NETWORKING AND SECURITY (ADCONS 2013), 2013, : 238 - 242
  • [37] Infrared and Visible Image Fusion Based on Visual Saliency Map and Image Contrast Enhancement
    Liu, Yuanyuan
    Wu, Zhiyong
    Han, Xizhen
    Sun, Qiang
    Zhao, Jian
    Liu, Jianzhuo
    SENSORS, 2022, 22 (17)
  • [38] NO-INFERENCE IMAGE SHARPNESS ASSESSMENT BASED ON WAVELET TRANSFORM AND IMAGE SALIENCY MAP
    Zhao, Heng-Jun
    PROCEEDINGS OF 2016 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION (ICWAPR), 2016, : 43 - 48
  • [39] Full Reference Image Quality Assessment Based on Saliency Map Analysis
    Tong, Yubing
    Konik, Hubert
    Cheikh, Faouzi A.
    Tremeau, Alain
    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2010, 54 (03)
  • [40] A saliency map based on sampling an image into random rectangular regions of interest
    Vikram, Tadmeri Narayan
    Tscherepanow, Marko
    Wrede, Britta
    PATTERN RECOGNITION, 2012, 45 (09) : 3114 - 3124