Cover Optimization for Image in Image Steganography

This paper developed techniques for discriminating between images to use as steganography cover. Algorithm is based on the hypothesis that a particular message embedding scheme leaves statistical evidence or structure that can be exploited for detection with the aid of proper selection of image features analysis. We pointed out the image features that should be taken more seriously into account in the design of more successful steganography, weight for each of these feature determined by using Analytic Hierarchy Process (AHP) which help to maximize some of features and gives weight according to relation between these features. The proposed algorithm tested by using LSB image steganography, stego-image compared with origin one which gave promise results.