Adaptive Image Steganography Based on Denoising Methods in IWT

The Steganography is used for secure communication of information by embedding information in a cover object such as text, image, audio, video without any suspicion. An adaptive image steganography utilizing image denoising algorithm by wavelet thresholding. Adaptive steganography is a spatial case of both spatial and transform technique. Moreover it is introduced as statistics aware embedding and masking. Wavelet transform is employed to represent represent spatial domain image into time frequency domain. At first Arnold Transformation is performed to scramble the secret message then both cover and secret message are decomposed using Integer wavelet transform. In general secret data is hidden in noisy components of cover medium, this implies that calculating a threshold based on wavelet coefficients of cover image to determine the noisy components. Afterwards the decomposed secret message embedded among noisy coefficients. This proposed method improves the capacity, Peak Signal to Noise Ratio (PSNR) and provides high security and certain robustness.