A Soft Computing–Based Decision Support Framework Integrating GIS, FAHP, WLC, and TOPSIS for Sustainable Solid Waste Management Planning

The rapid growth of digital communication requires data security. Steganography is most used method for data hiding. Steganography is an art of hiding secrete data for secure communication. Among various methods of steganography video steganography is widely used due to its high embedding capacity. Video signal is a combination of frames so it brings maximum possibilities to hide maximum amount of data. This paper presents unified framework of video steganography. The proposed method includes video steganography where we can used text, image or small video as a secrete data. Huffman coding is used to compress secrete data, reducing the embedding capacity requirements and enabling a higher payload. Huffman coding is lossless compression technique. The compressed secrete data then embedded into the cover video by transform domain technique. The effectiveness of the proposed technique is given by experimental results. Peak signal to noise ratio (PSNR), Mean square error (MSE), Signal to noise ratio (SNR), Pixel similarity accuracy are some of output terms which are compared for different size of secrete data.

Video steganography, Huffman coding, transform domain, Lossless compression, Embedding Capacity

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