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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
Medical Image Compression, LPC-Huffman, DWT-Huffman, LPCDH Technique.
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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1 Saleha Masood, Muhammad Sharif, Mussarat Yasmin, MudassarRaza and SajjadMohsin. "Brain Image Compression: A Brief Survey", Engineering and Technology 5(1): 49-59, 2013.
2 Hu, L.L., F. Zhang, Z. Wang, X.F. You, L. Nie, H.X. Wang, T. Song and W.H. Yang, 2010. "Comparison of the 1HR Relaxation Enhancement Produced by Bacterial Magnetosomes and Synthetic Iron Oxide Nanoparticles for Potential Use as MR Molecular Probes", Appl. Supercond., IEEE Trans., 20(3): 822-825.
3 Seddeq E. Ghrare, and Salahaddin M. Shreef, "Proposed Quality Evaluation of Compressed MRI Medical Images for Telemedicine Applications", World Academy of Science, Engineering and Technology, pp. 568-570, 2012.
4 J. H. PUJAR, L. M. KADLASKAR, "A New Lossless Method of Image Compression and Decompression using Huffman Coding Techniques", Journal of Theoretical and Applied Information Technology, 2010.
5 K. Gupta, R. L. Verma, Md. Sanawer Alam, "Lossless Medical Image Compression using Predictive Coding and Integer Wavele Transform based on Minimum Entropy Criteriat", International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 2, Issue 8, August 2013.
6 Keerti Mishra, R.L.Verma, Sanawer Alam and Harsh Vikram, "Hybrid Image Compression Technique using Huffman Coding Algorithm", International Journal of Research in Electronics & Communication Technology Volume 1, Issue 2, October-December, 2013, pp. 37-45.
7 P.A. Maragos, R. W. Schafer, R. M. Mersereau, "Two-Dimensional Linear Prediction and Its Application to Adaptive Predictive Coding of Images", IEEE Tran. on Acoustics, Speech, and Signal Processing, Vol. Assp-32, No. 6, Dec. 1984.
8 F. Pensiri, S. Auwatanamongkol, "A lossless image compression algorithm using predictive coding based on quantized colors", E-ISSN: 2224-3488, Issue 2, Vol. 8, April 2012.
9 N. Bansal and S. K. Dubey, "Image compression using hybrid transform", Journal of Global Research in Computer Science, Volume 4, No. 1, January 2013, pp. 13-17.
10 Er. Ramandeep Kaur Grewal M.Tech (I.T.), N. Randhawa, "Image Compression Using Discrete Cosine Transform & Discrete Wavelet Transform", International Journal of Computing & Business Research, ISSN (Online): 2229-6166, 2012.
11 P. Telagarapu, V. J. Naveen, A. L. Prasanthi, G. V. Santhi, "Image Compression Using DCT and Wavelet Transformations", International Journal of Signal Processing, Image Processing and Pattern Recognition, vol. 4, no. 3, Sept. 2011.
12 Kharagpur, Multi-Resolution Analysis, ECE IIT, Version 2.
13 Harjeetpal Singh , Sakshi Rana, "Image Compression Hybrid using DCT , DWT , Huffman", International Journal of Scientific & Engineering Research Volume 3, Issue 8, August-2012.
14 Vaishali G. Dubey, Jaspal Singh, "3D Medical Image Compression Using Huffman Encoding Technique", International Journal of Scientific and Research Publications, Volume 2, Issue 9, September 2012.
15 Mohamed Abo-Zahhad, Mahmoud Khaled Abd-Ellah, "Huffman Image Compression Incorporating DPCM and DWT", Journal of Signal and Information Processing, 2015, 6, 123-135, 24 April 2015.
16 Jagadish H. Pujar, Lohit M. Kadlaskar, "A new lossless method of image compression and decompression using Huffman coding techniques", Journal of Theoretical and Applied Information Technology, pp. 18-22, 2010.
17 Neelesh Kumar Sahu, Chandrashekhar, "Hybrid Compression of Medical Images Based on Huffman and LPC For Telemedicine Application", IJIRST - International Journal for Innovative Research in Science & Technology, Volume 1, Issue 6, November 2014.
18 M.Abo�Zahhad, R.R.Gharieb, Sabah M.Ahmed, Mahmoud Khaled, "Brain Image Compression Techniques", International Journal of Engineering Trends and Technology (IJETT), Volume 19, Number 2, Jan 2015.
19 Fahima Tabassum, Md. Imdadul Islam, Mohamed Ruhul Amin, "A Simplified Image Compression Technique Based on Haar Wavelet Transform", Electrical Engineering and Information Communication Technology (ICEEICT), IEEE, pp. 1 - 9, 21-23 May 2015.
20 Jothimani, D., Shankar, R., Yadav, S.S., (2015) Discrete Wavelet Transform-Based Prediction of Stock Index: A Study on National Stock Exchange Fifty Index, Journal of Financial Management and Analysis, 28 (2), 35-49.
21 Asha Rani, Amandeep K. Bhullar, Deepak Dangwal, Sanjeev Kumar, "A Zero-Watermarking Scheme using Discrete Wavelet Transform", 4thInternational Conference on Eco-friendly Computing and Communication Systems (ICECCS), Procedia Computer Science, Elsevier, volume 70, pp. 603 - 609, 2015.
22 R.Praisline Jasmi, Mr.B.Perumal, Dr.M.Pallikonda Rajasekaran, "Comparison of image compression techniques using Huffman coding, DWT and fractal algorithm", Computer Communication and Informatics (ICCCI), IEEE, pp. 1-5, 8-10 Jan. 2015.
Mrs. Amira Mofreh
Al-Madina Higher Institute for Engineering and Technology - Egypt
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