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An Analysis of Compression Methods and Implementation of Medical Images in Wireless Network

Authors: C. Rajan, K. Geetha, S. Geetha

Abstract:

The motivation of image compression technique is to reduce the irrelevance and redundancy of the image data in order to store or pass data in an efficient way from one place to another place. There are several types of compression methods available. Without the help of compression technique, the file size is knowingly larger, usually several megabytes, but by doing the compression technique, it is possible to reduce file size up to 10% as of the original without noticeable loss in quality. Image compression can be lossless or lossy. The compression technique can be applied to images, audio, video and text data. This research work mainly concentrates on methods of encoding, DCT, compression methods, security, etc. Different methodologies and network simulations have been analyzed here. Various methods of compression methodologies and its performance metrics has been investigated and presented in a table manner.

Keywords: Image compression techniques, encoding, DCT, lossy compression, lossless compression, JPEG.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1126742

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References:


[1] Enyan Suna, Xuanjing Shena, and Haipeng Chena “A Low Energy Image Compression and Transmission in Wireless Multimedia Sensor Networks” Elsevier 2011
[2] Shan Baotanga, Shen Tingzhib, and Wang Weijiangb “A Remainder Set Near-Lossless Compression Method for Bayer Color Filter Array Images”, International Conference on Solid State Devices and Materials Science, 2012.
[3] A. Muruganandhama, and RSD Wahida Banub “Adaptive Fractal Image Compression using PSO” Procedia Computer Science 2 338–344, Elsevier, 2010.
[4] Hanaa ZainEldin, Mostafa A. Elhosseini, and Hesham A. Ali “Image compression algorithms in wireless multimedia sensor networks: A survey” Ain Shams Engineering Journal 6, 481–4 ,2015..
[5] Sonal, Dinesh Kumar “A Study of Various Image Compression Techniques” IEEE 2013.
[6] Huaming Wu and Alhussein A. Abouzeid “Energy Ef_cient Distributed JPEG2000 Image Compression in Multihop Wireless Networks”
[7] Rogelio Hasimoto Beltran “Pixel level iterleving schemes for robust image communication”
[8] Su Jin Lee, and Moon Hae Kim “KoMIPS: A web based medical image processing system for telemedicine applications” IEEE, TENCON02.
[9] Hwang WJ1, Chine CF, and Li KJ “Scalable Medical Data Compression and Transmission Using Wavelet Transform for Telemedicine Applications”, IEEE Transactions on Information Technology in Biomedicine, Vol. 7, no. 1, March 2003.
[10] R. S. Dilmaghani , A. Ahmadian , A. H. Aghvami “Progressive Medical Image Transmission and Compression” IEEE Signal Processing Letters, Vol. 11, No. 10, October 2004.
[11] Xiaolin Wu , and Tong Qiu “Wavelet Coding of Volumetric Medical Images for High Throughput and Operability” IEEE Transactions ON Medical Imaging, Vol. 24, No. 6, June 2005.
[12] Robina Ashraf and Muhammad Akbar “Absolutely Lossless Compression of Medical Images” IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005
[13] C. N. Doukas, I. Maglogiannis, and G. Kormentzas “Medical Image Compression using Wavelet Transform on Mobile Devices with ROI coding support” IEEE Engineering in Medicine and Biology 27th Annual Conference Shanghai, China, September 1-4, 2005.
[14] Bindulal T.S, and M. R. Kaimal “Adaptive Scalable Wavelet Difference Reduction Method for Efficient Medical Image Transmission” IEEE 2006.
[15] Advanced Medical Video Services through Context-Aware Medical Networks” Conference of the IEEE EMBS Cité Internationale, Lyon, France August 23-26, 2007
[16] Qiusha Min, Robert J.T. Sadleir “A Hybrid Lossless Compression Scheme for Efficient Delivery of Medical Image Data over the Internet” 2010 Second International Conference on Computer Modeling and Simulation.
[17] Yung-Chen Chou and Hon-Hang Chang “A Data Hiding Scheme for Color Image Using BTC Compression Technique” IEEE 2010.
[18] Zhinoos Razavi Hesabi1, Mohsen Sardari, and Ahmad Beirami “A Memory-Assisted Lossless Compression Algorithm for Medical Images” 2014 IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP).
[19] Loganathan, R. and Y.S. Kumaraswamy “Medical Image Compression with Lossless Region of Interest Using Adaptive Active Contour” Journal of Computer Science 8 (5): 747-751, 2012.
[20] Tanima Dutta ‘Medical data compression and transmission in wireless Adhoc networks’ IEEE Sensor journal vol. 15 no.2 2015.
[21] Pablo A. Estevez, Rodrigo J. Flores, and Claudio A. Perez “Color Image Segmentation Using Fuzzy Mn-Max Neural Networks” Intemational Joint Conference on Neural Networks, Canada, IEEE, 2005.
[22] H.D. Cheng, X.H. Jiang, Y. Sun and J. Wang, "Color image segmentation: advances and prospects," Pattern Recognition vol. 34, pages 2259- 2281, 2001.
[23] Mohamadreza Jamali, Saadan Zokaei, and Hamid R. Rabiee “A New Approach for Distributed Image Coding in Wireless Sensor Networks”, IEEE, 2010.
[24] Fahed Awad, Eyad Taqieddin, Moad Mowafi, and Omar Banimelhem, Amani AbuQdais “A Simulation Testbed to Jointly Exploit Multiple Image Compression Techniques for Wireless Multimedia Sensor Networks”, IEEE, 2014.
[25] Huaming Wu, Alhussein A. Abouzeid, “Energy efficient distributed image compression in resource-constrained multihop wireless networks”, Computer Communications 28 (2005) 1658–1668, Elsevier.
[26] Martha R. Quispe-Ayala, Krista Asalde-Alvarez, and Avid Roman-Gonzalez, “Image Classification Using Data Compression Techniques”, IEEE 26-th Convention of Electrical and Electronics Engineers, 2010.
[27] Piyamas Suapang, and King Mongkut’s Institute of Technology Ladkrabang, “Medical Image Archiving, Processing, Analysis and Communication System for Teleradiology” TENCON, IEEE, 2010.
[28] B. Ruxanayasmin, B. Ananda Krishna, and T. Subhashini “ Implementation of Data Compression Techniques in Mobile Ad hoc Networks” International Journal of Computer Applications (0975 – 8887) Volume 80 – No.8, October 2013.
[29] A. Alarabeyyat, S. Al-Hashemi, and T. Khdour “Lossless Image Compression Technique Using Combination Methods” Journal of Software Engineering and Applications, 2012, 5, 752-763.
[30] C Rajan, “Genetic based Optimization for multicast Routing algorithm for Manet’’ , Sadhana - Academy Proceedings in Engineering Science Vol. 40, No. 7, 2015.
[31] C. Rajan, K. Geetha, C. Rasi Priya, S. Geetha, “Investigation on Novel Based Naturally Inspired Swarm Intelligence Algorithms for Optimization Problems in Mobile Ad Hoc Networks”, Journal of Mathematical, Computational, Natural and Physical Engineering, World Academy of Science, Engineering and Technology, vol. 9, no. 3, 2015.
[32] Image Compression: Available: http://videocodecs.blogspot.in/2007/05/image-coding-fundamentals_08.html.
[33] Image Compression Methods: Available: http://www.mvnet.fi/index.php?osio=Tutkielmat&luokka=Yliopisto&sivu=Image_compression.