Research On Chaotic Masking Of Image Information And Its Blind Extraction Technique

Recent application in diversified communication technologies has brought tremendous benefits to the production and life along with various risks and threats.With the continuous expansion of national information infrastructure and information assets scale,ensuring information security has become the cornerstone of national information security.Image information,as one of the diversified and multimedia information,is widely applied in production and social activities.Despite image has readability and understandability for information transmission,it is particularly prone to information disclosure and malicious interception.Based on the above background,this paper is dedicated to study the secret transmission technology of image information.We consider a chaotic signal with noise-like characteristics carrier with the objective of solving the problem of secret transmission in unknown channel.Meanwhile,the receiver processes the observed signal by means of statistical information and transform domain processing,the image information separation or extraction is achieved with the aid of blind source separation algorithm.Consider the effect of source noise,channel noise and sensor noise on blind source separation,and the separation model is modified by the method of “parity and cross sequence compensation”,an “sequential extraction rule” is proposed to sequentially extract the images and the expected image information is eventually restored.Finally,this thesis will realize the confidential transmission and blind extraction of image information,which can be popularized as a general algorithm in the field of information security transmission.