A new image steganography based on denoising methods in wavelet domain

This paper introduces a novel wavelet-based method to perform image steganography utilizing image denoising algorithms by wavelet thresholding. Steganographic algorithms are in general based on replacing noise components of a digital object with a to-be-hidden message. The main motivation for conducting this research was to improve robustness and capacity of hidden data due to efficacy of wavelet transform and potency of noisy components as an appropriate field for hiding secret message. In fact, secret data is hidden in noisy components of cover medium. This implies calculating a threshold based on wavelet coefficients of cover image to determine noisy coefficients. Afterwards, normalized secret information is embedded among noisy coefficients. Extensive experimental results demonstrate that the proposed method improves the capacity and PSNR up to 78% and 41dB, respectively. Besides, the embedded data can be extracted from the stego-image without referencing the original image and it has excellent robustness against steganalysis attacks.