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Research On The Binary Image Steganoraphy And Analysis Technology

Posted on:2012-11-18Degree:MasterType:Thesis
Country:ChinaCandidate:M CaoFull Text:PDF
GTID:2178330335978024Subject:Computer system architecture
Abstract/Summary:PDF Full Text Request
As the global digital information process accelerating,the binary image is widely used for its simple storage and compact structure,many important information were stored as binary image,so,research on binary image Steganography is important to information security and property protection.The main research of this paper is bianry image Steganography. It is widely used in many domains.Compared with true color images and grayscale images,the research on binary image steganoraphy is relatively less. Binary image is only black and white colors, such information hiding is different from the gray scale images and color images. It is easy to detect with the human eye, robustness is not high and capacity is restricted. The purpose of this thesis is to enhance the robustness and the capacity of hidden messages and to make the hidden message"blind"to human eye.The main work of this paper is summarized as follows:1.Analyze and summarize the binary image stegnoraphy that currently exists.2.In the image space domain,based on the mathematical morphology methods,a low distortion steganoraphy based on the edge of the image was proposed.Embed information on the edge which not only reduce the computation,but also prevent the image distortion.Experiments demonstrated that the algorithm have advantages such as good concealment,can against the malicious attack and get complete secret information and so on.3.Based on the edge of the steganoraphy,a new information hiding algorithm was proposed, which was based on key matrix and mass matrix.This algorithm could not only reduce the computation , but also increase the capacity .It well unified the low computation and increase capacity.Experiments demonstrated the effectiveness of that algorithm.
Keywords/Search Tags:Steganoraphy, Steganalysis, mathematical morphology, binary image, edge extraction
PDF Full Text Request
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