Image cryptosystems based on blind source separation

被引:0
|
作者
Lin, QH [1 ]
Yin, FL [1 ]
机构
[1] Dalian Univ Technol, Sch Elect & Informat Engn, Dalian 116023, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One major difference between the image data and the text data is that the image data permit small distortion owing to the characteristics of human perception, but the text data rarely do. This paper applies blind source separation (BSS) to forming a new efficient cryptosystem for images. The confidential images to be transmitted are covered with the mask images by specifically mixing them. This process is called the "mixed masking" encryption based on BSS. On the receiving side, the original images are well recovered through "BSS" controlled by the separation-keys, which is called the "BSS" decryption. The proposed method has high security performance and flexible feature. The results of experiments illustrate the validity of the proposed method.
引用
收藏
页码:1366 / 1369
页数:4
相关论文
共 50 条
  • [1] Blind source separation applied to image cryptosystems with dual encryption
    Lin, QH
    Yin, FL
    ELECTRONICS LETTERS, 2002, 38 (19) : 1092 - 1094
  • [2] Blind Source Separation for Face Image based on Deep Learning
    Zhao, Xiangning
    Liu, Qijia
    Li, Jianyu
    Guo, Yina
    PROCEEDINGS OF 2018 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION, ELECTRONICS AND ELECTRICAL ENGINEERING (AUTEEE), 2018, : 83 - 86
  • [3] Image Encryption Based on Compressed Sensing and Blind Source Separation
    Yang, Zuyuan
    Xiang, Yong
    Lu, Chuan
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 1366 - 1369
  • [4] Noise Source Separation based on the Blind Source Separation
    Yang, Yang
    Li, Zuoli
    Wang, Xiuqin
    Zhang, Di
    2011 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, 2011, : 2236 - +
  • [5] An upgraded image encryption based on nonlinearity concept in blind source separation
    Abdolmaleki, Narjes
    Sadr, Ali
    Ziabari, Seyed Ali Sedigh
    SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 18 (01) : 853 - 862
  • [6] Gaussian Noise Removal of Blind Source Separation Based on Image Sequence
    Dong, Shijia
    Yu, Chunyu
    Sun, Bin
    2018 11TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 2, 2018, : 3 - 6
  • [7] An upgraded image encryption based on nonlinearity concept in blind source separation
    Narjes Abdolmaleki
    Ali Sadr
    Seyed Ali Sedigh Ziabari
    Signal, Image and Video Processing, 2024, 18 : 853 - 862
  • [8] A blind source separation perspective on image restoration
    Miao, Lidan
    Qi, Hairong
    2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 251 - +
  • [9] Performance Analysis of Source Image Estimators in Blind Source Separation
    Koldovsky, Zbynek
    Nesta, Francesco
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (16) : 4166 - 4176
  • [10] Blind source separation based x-ray image denoising from an image sequence
    Yu, Chun-Yu
    Li, Yan
    Fei, Bin
    Li, Wei-Liang
    REVIEW OF SCIENTIFIC INSTRUMENTS, 2015, 86 (09):