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Error correction coding and optimization algorithms in image steganography

Author: DaiShaoHua
Tutor: WangJianJun
School: Fudan University
Course: Circuits and Systems
Keywords: Information Hiding Steganography JPEG images Error correction coding Gray code Bees evolutionary algorithm Fibonacci matrix
CLC: TP309.7
Type: Master's thesis
Year: 2010
Downloads: 56
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Abstract


With the rapid development of Internet applications, information security issues have become increasingly prominent , information hiding technology as the primary means of hidden communications and intellectual property protection is to get a wide range of research and application . JPEG is the application of a wide range of image formats , concealed carrier in JPEG steganography algorithms JSteg, JPhide, Outguess 0.13, Outguess 0.2, F5 . This paper focuses on the steganography method based on JPEG images , combined with the error correction coding theory and optimization algorithm thinking , new improved method is proposed on the basis of the existing DCT domain steganographic method , mainly to complete the following three aspects of the work . ( 1 ) proposed a Gray code DCT domain implicit write algorithm . Steganography and error correction coding relationships , and the Gray code is applied to the DCT domain image steganography to improve the embedding efficiency , the amount of the same number of embedded , can be obtained than F5 better image quality , by embedding improvements , preferably maintaining the histogram characteristics of the DCT coefficients of the original image , to improve the steganographic information security in the JPEG image . ( 2) an algorithm based on bee evolution JPEG steganography . Firstly, the use of evolutionary algorithms to search by bees optimal permutation matrix replacement secret information ; Then modify the JPEG standard quantization table in order to be able to embed more information ; replacement results embed the DC and low frequency of the quantized DCT coefficients the AC region ; Finally, the the JPEG entropy encoding to obtain the hidden information in JPEG files . The experimental results show that , compared with the direct embedding method , the method to improve the the dense image quality and security , information hiding method based on genetic algorithm , the algorithm takes less time . (3) modify the method of steganography method based on a Fibonacci matrix and human visual model quantization table Fibonacci matrix with a model of the human visual system is applied to the JPEG image steganography , first construct a 8 × 8 k-Fibonacci matrix , make modifications based on the human visual system model , the final results as a new quantization table . After the information to be hidden embedded into the quantized DCT coefficients of DC and low frequency AC region . The experimental results show that the method is easy to implement, compared to other quantization table construction process , improve the embedding capacity, can effectively resist the classification attack .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > General issues > Security and confidentiality > Encryption and decryption
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