DocumentCode
672641
Title
High security image steganography using IWT and graph theory
Author
Thanikaiselvan, V. ; Arulmozhivarman, P.
Author_Institution
Sch. of Electron. Eng., VIT Univ., Vellore, India
fYear
2013
fDate
8-10 Oct. 2013
Firstpage
337
Lastpage
342
Abstract
Steganography conceals the secret information inside the cover medium. There are two types of steganography techniques available practically. They are spatial domain steganography and Transform domain steganography. The objectives to be considered in the steganography methods are high capacity, imperceptibility and robustness. In this paper, a Color image steganography in transform domain is proposed. Reversible Integer Haar wavelet transform is applied to the R, G and B planes separately and the data is embedded in a random manner. Random selection of wavelet coefficients is based on the graph theory. This proposed system uses three different keys for embedding and extraction of the secret data, where key1(Subband Selection - SB) is used to select the Wavelet subband for embedding, key2(Selection of Co-effecients-SC) is used to select the co-efficients randomly and key3 (Selection of Bit length-SB) is used to select the number of bits to be embedded in the selected co-efficients. This method shows good imperceptibility, High capacity and Robustness.
Keywords
Haar transforms; graph theory; image colour analysis; random processes; steganography; wavelet transforms; B planes; G planes; IWT; R planes; SB; SC; color image steganography; graph theory; high security image steganography techniques; imperceptibility; random selection; reversible integer Haar wavelet transform; secret data embedding; secret data extraction; secret information; selection of bit length; selection of co-effecients; spatial domain steganography; subband selection; transform domain steganography; wavelet coefficients; wavelet subband; Hafnium; Robustness; Graph Theory; IWT (Integer Wavelet Transform); LSB(Least Significant Bit) substitution; Steganalysis; Steganography;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location
Melaka
Print_ISBN
978-1-4799-0267-5
Type
conf
DOI
10.1109/ICSIPA.2013.6708029
Filename
6708029
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