An imperceptible steganographic method based on Genetic Algorithm

Abstract

This paper proposes a novel steganography scheme based on Genetic Algorithm. The novel scheme embeds data by using a mapping function based on Genetic Algorithm in 8×8 blocks on the cover image. The optimal pixel adjustment process is applied after embedding the message. GA and Optimal Pixel Adjustment Process are used to obtain an optimal permutation to reduce the difference error between the cover and the stego-image and to increase the hiding capacity with low distortions respectively. Simulation results show that the novel scheme have high hiding rates with reasonable imperceptibility compare to other steganography methods in terms of peak signal to noise ratio and capacity, 35.23 dB and 50% respectively.