Novel approach for image stenography based on integer wavelet transform

Abstract

The proposed system presents a novel approach of building a secure data hiding technique of Steganography using integer wavelet transform along with cropping. The novel scheme embeds data in integer wavelet transform coefficients by using a cropping function in an 8×8 block on the cover image. The optimal pixel adjustment process is applied after embedding the message. We employed frequency domain to increase the robustness of our steganography method. Integer wavelet transform avoid the floating point precision problems of the wavelet filter. We use cropping function and Optimal Pixel Adjustment Process to obtain an optimal mapping function 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 outperforms adaptive steganography technique based on integer wavelet transform in terms of peak signal to noise ratio and capacity.