¹Research Scholar, Manonmaniam Sundaranar University, Tirunelveli, India.
²Department of CSE,SVCET, Andhra Pradesh, India.

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Abstract—The main purpose of this paper is to put forth an idea to reduce the size of the medical images to be transmitted optimally and qualitatively with the special focus in the field of telemedicine. The fact that the bandwidth factor influences the data transfer rate, the data has to be as small as possible to be transmitted and downloaded swiftly across the nets. A new method has to be proposed, where by the compression of the data could be still improved. This has been achieved by improving the existing Huffman lossless compression algorithm. The proposed N-Pattern Technique focuses on identification and grouping the different length patterns based on their intensity values and optimizing the input to the encoder for compression. On comparison with the existing method, the proposed method greatly improves the compression and the space saving with the quality of the image being still maintained.

Index Terms—Data compression, entropy, Huffman coding, mean squared error (MSE), N-pattern-sequencer, peak signal-to-noise ratio (PSNR), telemedicine.

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Cite: Christy Sumitha Vincent, Janet Jayaraj, "N-Pattern Huffman Compression Algorithm for Medical Images in Telemedicine," Journal of Computers vol. 11, no. 5, pp. 365-373, 2016.