Image steganography algorithm based on Huffman encoding and transform domain method

Steganography is the art and science of writing hidden messages in such a way that, apart from the sender and intended recipient, no one suspects the existence of the message, a form of security through the state of being unknown. The main two famous schemes used for image steganography are spatial domain embedding and transform domain embedding. The main aim of DWT is used to transform original image (cover image) from spatial domain to frequency domain. But here in our proposed work, 2-D DWT is performed on a gray level cover image and Huffman encoding is performed on the secret messages before embedding. The main purpose of the proposed work is to focus on improving embedding capacity and bring down the distortion occurring to the stego image. The refinement of the algorithm plays an important role for accomplishing higher embedding capacity and low distortion rate. The experimental results prove that the assessment metric such as PSNR is improved in a high manner. The experimental results show that the algorithm has a high capacity and a good invisibility.