An Image Steganographic Method with Noise Visibility Function and Dynamic Programming Strategy on Partitioned Pixels

In this paper, we proposed a novel image steganographic method. Considering the visual quality of the stego-image, the pixels of host image are classified into three groups according to the noise visibility function values of the pixels. For each group of pixels, the corresponding secret pixel values go through an optimal substitution process and are transformed into other pixel values. Then the optimal substitution is obtained by dynamic programming strategy. To get the good image quality of the stego-image, the modulus function is employed to hide the secret bits into host pixels. According to our experimental results, this method can provide better stego-image quality than some traditional schemes.