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Stegnography, Spatial Domain Embedding, Huffman Encoding

Steganography is an art of hiding secret information on a cover medium through imperceptible methodology. The cover medium can be any digital entity ranging from an image, audio, video to any object which can be digitally represented. Embedding capacity, imperceptibility and robustness are the primary goal of steganography. However the requirement of the above said goal vary from application to application. The notion of the proposed work is to focus on improving embedding capacity and bring down the distortion occurring to the stego image. For accomplishing higher embedding capacity and undetectability it is not essential to rely only on the cover image and efficient embedding technique but also on the refinement of the algorithm. One such attempt has been taken in the proposed work by applying gray coding technique to the payload (secret image). The gray coded binary data is bit planed and runlength encoded, prior to the submission of Huffman enoding technique results in supporting higher embedding capacity. The experimental results shows that the assessment metrics such as peak signal to noise ratio, histogram and embedding capacity are highly improved.