Cosine Walsh and Slant wavelet transforms for robust image steganography

Abstract

Image Steganography is an art and science of unseen communication. Image steganography technique is widely used to secure information utilized for covert communication, featured tagging, copyright protection, military agencies and for many more applications related to secure communications. Image steganography using transforms shows more robustness against attacks. Here, Cosine wavelet transform, Walsh wavelet transform and Slant wavelet transform are proposed to be used for image steganography. Experimentation is done on 10 cover images for hiding 10 assorted message images. Results show that, without attacks Cosine transform performs better but in case of attacks on stego such as Cropping, brightness, darkness, wavelets of Cosine, Walsh and Slant transform performs better than individual orthogonal transforms.