Secret writing of Data In Color Images Based on Noise Removal Algorithms and Arnold Transformation

S.VENKATESH; Dr.M.A. Dorairangaswamy

Volume : VI, Issue : VII, July - 2016

Secret writing of Data In Color Images Based on Noise Removal Algorithms and Arnold Transformation

S. Venkatesh, Dr. M. A. Dorairangaswamy

Abstract :

Secret writing techniques have been used for centuries. Using Secret Writing of secret message can be embedded inside a piece of unsuspicious information and transfer it without anyone’s information about the existence of the secret message. This paper introduces Color image Secret writing utilizing image noise removal algorithm by wavelet thresholding. Wavelet transform is employed to represent spatial area image into time occurrence domain. At first The preprocessed color cover image is transmitted from RGB to YIQ Tint model in arrange to take out its I–component. At the same time, Arnold Transformation is performed to mix up the secret message then together cover–I and secret message are decomposed using Discrete Wavelet Transform (DWT). In general secret data is hidden in noisy components of cover medium, this implies that calculate a entry base on wavelet coefficients of wrap image to determine the noisy components. Afterwards the normalized secret message Alpha combination with the cover–I. This proposed method improves the capacity, Peak Signal to Noise Ratio (PSNR), provide elevated security and certain robustness.