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A New Lossless Medical Image Compression Technique using Hybrid Prediction Model
Amira Mofreh , Tamer M. Barakat, Amr M. Refaat
Pages - 20 - 30     |    Revised - 31-08-2016     |    Published - 01-10-2016
Volume - 10   Issue - 3    |    Publication Date - October 2016  Table of Contents
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KEYWORDS
Medical Image Compression, LPC-Huffman, DWT-Huffman, LPCDH Technique.
ABSTRACT
Medical image compression presents the best solution as hospitals move towards filmless imaging and go completely digital. Due to the large size of images; image compression is required to reduce the redundancies in image and represents it shortly with efficient archiving and transmission of images. When the information is critical and losing of this information is not acceptable; the lossless technique is the best image compression method for that purpose. But this technique has a big problem which is the compression rate is very low compared with a lossy compression technique. Many lossless compression techniques such as LPC-Huffman and DWT-Huffman were presented to enhance the compression rate, but these techniques still suffering from low compression rate. In this paper, a new hybrid lossless image compression technique which named LPC-DWT-Huffman (LPCDH) technique is proposed to maximize compression. The image firstly passed through the LPC transformation. The waveform transformation is then applied to the LPC output. Finally, the wavelet coefficients are encoded by the Huffman coding. Compared with both Huffman and DWT-Huffman (DH) techniques; our new model is as maximum compression ratio as that before.
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Mrs. Amira Mofreh
Al-Madina Higher Institute for Engineering and Technology - Egypt
engamiramofreh@yahoo.com
Mr. Tamer M. Barakat
Electrical & Electronic Department Faculty of Engineering, Fayoum University - Egypt
Mr. Amr M. Refaat
Electrical & Electronic Department Faculty of Engineering, Fayoum University - Egypt