Increasing Insertion Capacity and Resistance in Image Steganography Based on Mapping and Bits Reduction

In all of the image steganography algorithms, the embed capacity and resistance are considered. Hence, in this paper a new method is proposed that not only has high capacity for embed, but also has high resistance against steg analysis methods. This method presents an initiative to collate the confidential secret message with a matrix called K, thus large amount of information does not need to be transferred across the channel which effects security, resistance and embed capacity. After classification and mapping, the amount of information that is needed to be sent, changes to numbers between -7 and 7. Hence, by reducing the secret bits needed to send, the changes in the cover are also reduced and the result are optimized. B y comparing PSNR and SSIM  for this method with other methods in this area, we clearly see improvements in these parameters. The average of PSNR and SSIM is 44.36 and 0.97, respectively both of which are in the perfect range. The average of  numerical value of insertion is 5.99 bits per pixel, which  provides a very high capacity for insertion.