Optimized discrete wavelet transform based steganography

Steganography is the art of hiding a secret message within an ordinary message and the detection of hidden content is called as steganalysis. In this paper we propose an optimal discrete wavelet transform (DWT) based steganography. First a single level DWT decomposition is done on a host image and the secret information is hidden by manipulating the transform coefficients of the decomposed image. After embedding, the stego image is subjected to various types of image processing attacks such as Gaussian white noise, salt and pepper noise, blurring and sharpening. Experiments show that the peak signal noise ratio (PSNR) generated by the proposed method is better.