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Hybrid Compression Using DWT-DCT and Huffman Encoding Techniques for Biomedical Image and Video Applications

Author(s): K.N. Bharath | G. Padmajadevi | Kiran

Journal: International Journal of Computer Science and Mobile Computing
ISSN 2320-088X

Volume: 2;
Issue: 5;
Start page: 255;
Date: 2013;
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Keywords: Biomedical images and videos | Compression ratio (CR) | DCT | DWT | Huffman coding | PSNR | SSIM

Digital image and video in their raw form require an enormous amount of storage capacity.Considering the important role played by digital imaging and video, it is necessary to develop a system thatproduces high degree of compression while preserving critical image/video information. There is varioustransformation techniques used for data compression. Discrete Cosine Transform (DCT) and DiscreteWavelet Transform (DWT) are the most commonly used transformation. DCT has high energy compactionproperty and requires less computational resources. On the other hand, DWT is multi resolutiontransformation. In this work, we propose a hybrid DWT-DCT, Huffman algorithm for image and videocompression and reconstruction taking benefit from the advantages of both algorithms. The algorithmperforms the Discrete Cosine Transform (DCT) on the Discrete Wavelet Transform (DWT) coefficients.Simulations have been conducted on several natural, benchmarks, medical and endoscopic images. Severalhigh definition and endoscopic videos have also been used to demonstrate the advantage of the proposedscheme. Huffman coding is used to encode the compressed bit streams at compression stage. Inreconstruction stage, it is used to decode the received encoded bit streams. It also increases the compressionratio.
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