ZHU Congxu, HUANG Dazu, GUO Ying. A New Image Encryption Algorithm Based on Multiple Chaotic Maps and Output-Feedback[J]. Geomatics and Information Science of Wuhan University, 2010, 35(5): 528-531.
Citation: ZHU Congxu, HUANG Dazu, GUO Ying. A New Image Encryption Algorithm Based on Multiple Chaotic Maps and Output-Feedback[J]. Geomatics and Information Science of Wuhan University, 2010, 35(5): 528-531.

A New Image Encryption Algorithm Based on Multiple Chaotic Maps and Output-Feedback

Funds: 国家自然科学基金资助项目(60902044);中南大学首批研究生培养扶植基金资助项目(71333000482)
More Information
  • Received Date: March 14, 2010
  • Revised Date: July 08, 2013
  • Published Date: May 04, 2010
  • A new chaotic image encryption algorithm based on multi logistic maps(LMs) and piecewise sine chaotic maps(PSCMs) is proposed.The initial values and system parameters of the m PSCMs are generated by four LMs via iteration.By using the m-PSCMs chaotic secret key stream are generated.The image is encrypted two rounds by the chaotic secret key stream pixel by pixel and ciphertext output-feedback technology is introduced.The experimental results demonstrate that the extremely sensitive to the key and the plaintext,the ciphered image has random-like distribution behavior of grey values,the adjacent pixels have zero co-correlation properties.Furthermore,the algorithm shows the advantages of large key space and high speed of encryption.
  • Related Articles

    [1]ZHANG Yongxin, ZHANG Wangfei, JI Yongjie, ZHAO Han. Forest Height Estimation and Inversion of Satellite-Based X-band InSAR Data[J]. Geomatics and Information Science of Wuhan University, 2024, 49(12): 2279-2289. DOI: 10.13203/j.whugis20220373
    [2]WU Chuanjun, WANG Changcheng, SHEN Peng, ZHU Jianjun, FU Haiqiang. A Multi-baseline PolInSAR Forest Height Inversion Method Based on S-RVoG Model with Linearly Varying Extinction[J]. Geomatics and Information Science of Wuhan University, 2022, 47(1): 149-156. DOI: 10.13203/j.whugis20190336
    [3]HU Kailong, LIU Qingwang, CUI Ximin, PANG Yong, MU Xiyun. Regional Forest Canopy Height Estimation Using Multi-source Remote Sensing Data[J]. Geomatics and Information Science of Wuhan University, 2018, 43(2): 289-296, 303. DOI: 10.13203/j.whugis20160066
    [4]WU Qiong, TENG Yuntian, ZHANG Bing, HUANG Dalun. Calculation of Measurement-Height in Development of the Absolute Gravimeter[J]. Geomatics and Information Science of Wuhan University, 2017, 42(12): 1773-1778. DOI: 10.13203/j.whugis20150529
    [5]LIU Xiaolong, ZHNAG Yonghong, SONG Weidong. Building Height Information Extracting Technique Based on PSInSARLIU[J]. Geomatics and Information Science of Wuhan University, 2017, 42(4): 482-487,524. DOI: 10.13203/j.whugis20140239
    [6]LI Ning, WANG Changcheng, PENG Xing, FU Haiqiang, LI Pengfei, XIONG Wenxiu. A Dual-baseline Polarimetric SAR Interferometry Method for Building Height Inversion[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10): 1333-1338. DOI: 10.13203/j.whugis20140675
    [7]LIU Bin, GUO Jiming, SHI Junbo, WU Dijun. A GPS Height Fitting Method Based on the EGM2008 Model and Terrain Correction[J]. Geomatics and Information Science of Wuhan University, 2016, 41(4): 554-558. DOI: 10.13203/j.whugis20160249
    [8]YU Bo, LIU Yanchun, BIAN Gang, XIAO Fumin. Correction of Vertical Free-Air in Marine Magnetic Surveying[J]. Geomatics and Information Science of Wuhan University, 2008, 33(9): 926-929.
    [9]DANG Yamin, CHENG Chuanlu, CHEN Junyong, ZHANG Peng. GPS Data Processing of the 2005 Qomolangma Height Surveying[J]. Geomatics and Information Science of Wuhan University, 2006, 31(4): 297-300.
    [10]GUO Hairong, JIAO Wenhai, YANG Yuanxi, LIU Guangming. Systematic Error of the 1985 National Height Datum[J]. Geomatics and Information Science of Wuhan University, 2004, 29(8): 715-719.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return