Studying The Noise Effect on Data Hiding Based on Contourlet Coefficients

Abstract

The noise have so many effects on secret message embedded oncover image, which cause a high distortion it could reach not to retrieveor difficult to recognize in case of image.In this research a study of noise effect on the image watermarkwhen it embedded on the image contourlet coefficients (contourlettransformation was used as a recent transform for image), so thewatermark was embedded in the coefficients which has the low energy tomake less effect on the layout as much as possible in addition to givewide area.Different type of noise were added (Gaussain, Salt&Pepper andSpeckle Noise) on the practical application shows a clear effect forGaussain Noise and low effect for Speckle Noise in addition to highsecurity robustness plus difficulty to attacked by hackers.