DocumentCode
2770009
Title
Dual Transform Technique for Robust Steganography
Author
Kumar, K. B Shiva ; Khasim, T. ; Raja, K.B. ; Pattnaik, Sabyasachi ; Chhotaray, R.K.
Author_Institution
Dept. of Telecommun. Eng., Sri Siddhartha Inst. of Technol., Tumkur, India
fYear
2011
fDate
7-9 Oct. 2011
Firstpage
310
Lastpage
314
Abstract
Steganography enables to have a secret communication in modern information technology using public channel. In this paper, we propose Dual Transform Technique for Robust Steganography (DTTRS). The cover image is segmented into blocks of 4*4 each and Discrete Wavelet Transform (DWT) is applied on each block. In the resulting DWT coefficients, blocks of vertical band of 2*2 each are considered and Integer Wavelet Transform (IWT) is applied to get blocks of 1*1 each. The IWT is applied on vertical band of DWT of payload to generate coefficients of payload and are embedded into IWT coefficients of cover image using least significant bit replacement method. On applying IIWT and IDWT, stego image is derived. The concept of error detecting and correcting coding technique is employed to ensure more reliable communication. It is observed that the proposed algorithm has excellent PSNR, provides high level security and more robust compared to individual transform techniques.
Keywords
discrete wavelet transforms; image coding; image segmentation; steganography; correcting coding technique; cover image segmentation; discrete wavelet transform; dual transform technique for robust steganography; error detecting technique; information technology; integer wavelet transform; least significant bit replacement method; payload coefficient generation; public channel; secret communication; stego image; Discrete wavelet transforms; PSNR; Payloads; Robustness; Security; Cover Image; DWT and IWT; Payload; Steganography; StegoImage;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Communication Networks (CICN), 2011 International Conference on
Conference_Location
Gwalior
Print_ISBN
978-1-4577-2033-8
Type
conf
DOI
10.1109/CICN.2011.65
Filename
6112878
Link To Document