Application Of Compressed Sensing Technology In Image Information Hiding And Secure Communication

Information hiding technology is an important part of information security technology,it can avoid the destruction and interception of information by hiding information format,so as to protect the information security.Because of images are the most used for transmitting information in information hiding technology.Information hiding technology based on digital images has received more and more attention and has developed into a very hot research direction.Recently,most of existing works focus on: 1)improving the robustness of information embedding strategies and extraction algorithms;2)preventing being damaged accidentally or deliberately during information transmission;3)increasing capacity of cover images.To increase the capacity and security of information hiding,enhance effectiveness and reliability of data transmission,we apply compressed sensing technology to image information hiding and secure communication.In this paper,we propose two schemes for information hiding and secure communication,including:1.There are some problems in existing works of image information hiding,such as,achieving the trade-off between code length,embedded capacity,transparency and robustness of the watermark calculated by unitary transformation.Motived by this,we propose a fingerprint image watermarking technique with variable sampling rate of block compression sensing(BSCW)by combining Compressive Sensing(CS)technology and variable sampling method,to increase embedding capacity and robustness of watermark.Compressed sensing random projection and discrete wavelet transform are used for process the fingerprint image.BSCW generates watermark data through block and multi-scale sampling.The watermark data can be embedded in cover image according to different spatial or frequency domain embedding rules,and the receiver can extract the watermark data according to the corresponding detection and extraction criteria.Watermark image is reconstructed by extracting watermark data using multi-scale transform and BCS-SPL in DWT domain.2.In order to further protect the data transmission security,address the problem of information leakage during the transmission in existing third-party general-purpose transcoding technology,we propose a new compressed-aware security communication model(A Secure Communication Model with Compressive Sensing,CS-SCM).In this model,the multimedia data to be transmitted is converted from the original space to the CS measurement domain by compression sensing for transmission coding.With the theoretical advantage of compressed sensing,our model can realize compression coding and data encryption,meanwhile it can adaptively adjust the sampling rate according to the processing capabilities and requirements of the receiving device.Experimental results show that the proposed model can effectively increase data compression ratio and improve efficiency and security of data transmission.