Radiological Image Compression (RIC) Methodologies for Telemedicine
Manvi Mishra1, S. S Bedi2, Prabhakar Gupta3
1Manvi Mishra, Research Scholar, Department of CSE, Dr. APJ Abdul Kalam Technical University, Lucknow (Uttar Pradesh), India.
2S. S Bedi, Assistant Professor, Department of CSE & IT, IET MJPRU Bareilly (Uttar Pradesh), India.
3Prabhakar Gupta, Professor, Department of CSE, SRMSCET Bareilly (Uttar Pradesh), India.
Manuscript received on 11 October 2019 | Revised Manuscript received on 20 October 2019 | Manuscript Published on 02 November 2019 | PP: 730-736 | Volume-8 Issue-2S11 September 2019 | Retrieval Number: B11190982S1119/2019©BEIESP | DOI: 10.35940/ijrte.B1119.0982S1119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The goal of this review paper is to systematically analyze various Radiological Image Compression (RIC) mechanisms and conclude the optimal technique among them. A brief introduction of image compression reversible and irreversible methodologies are presented and summarized. To improve the classical lossless compression of low efficiency, a way of image lossless compression with high efficiency is offered. The work followed Efficient XML Interchange (EXI) binary xml technology and progressed consequences will be achieved. Moreover enhanced solution for RIC using EXI is likewise mentioned.
Keywords: Telemedicine, Radiographs, Reversible Compression, Irreversible Compression.
Scope of the Article: Image Security