Steganography in the Compressed Image Supplement Using Takin Value Analysis

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.