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Esfahani, R., Norozi, Z. (2014). Steganography in the Compressed Image Supplement Using Takin Value Analysis. Electronic and Cyber Defense, 4(3), 25-34.
R. Esfahani; Z. Norozi. "Steganography in the Compressed Image Supplement Using Takin Value Analysis". Electronic and Cyber Defense, 4, 3, 2014, 25-34.
Esfahani, R., Norozi, Z. (2014). 'Steganography in the Compressed Image Supplement Using Takin Value Analysis', Electronic and Cyber Defense, 4(3), pp. 25-34.
Esfahani, R., Norozi, Z. Steganography in the Compressed Image Supplement Using Takin Value Analysis. Electronic and Cyber Defense, 2014; 4(3): 25-34.

Steganography in the Compressed Image Supplement Using Takin Value Analysis

پدافند غیرعامل
Volume 4, Issue 3 - Serial Number 15, December 2013, Pages 25-34    PDF (653.18 K)
Document Type: Original Article
Authors
R. Esfahani* ; Z. Norozi
ihu
Receive Date: 09 September 2013,  Revise Date: 09 October 2013,  Accept Date: 06 January 2014 
Abstract
In the information hiding systems, three main elements of capacity, security and resistance are involved. Security and emplacement capacity have a special position in steganography and the steganography methods emphasize the reduction of changes caused by emplacement. But one of the very important issues in passive defense is the appropriate application of the existing memory space for steganography during crisis. This paper attempts to present a dynamic method to implement image steganography by considering minimum factors in the image properties for critical conditions. The consumed memory space and the similarity of image are two parameters that are dealt with in this paper. In this paper, at first, a compressed image of the main image is obtained using the Takin Value Analysis Method and then the steganography is performed. In this method, steganography in the compressed image supplement is done and later, will be accumulated with the compressed image itself and the ultimate image will be obtained which resembles the main image and this similarity value depends on the value of the special parameter  in the computational process called K(special value of matrix). The lower the value of K, the lower the similarity to the main image but a higher memory space will be available for steganography.
Keywords
Special Values; Special Vector; Steganography; Steganalysis; Histogram; Takin Value Analysis; Image Compressor
References
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