Proving Rural and Urban Telemedicine with Improved Diacom Image Compression Using EXI Mechanism

Authors

  • Manvi Mishra
  • S.S. Bedi
  • Prabhakar Gupta

DOI:

https://doi.org/10.47059/revistageintec.v11i4.2243

Abstract

Digital Imaging and Communication (Diacom) is a medical image format used in telemedicine. Telemedicine is the core of the modern age. A physician in one area uses a telecommunications device to provide a patient with treatment at a distant site. It's a substitute horizon that the globe publicly pays attention to. Throughout telemedicine sessions, access to personal patient health records and health trackers is on the market, helping you diagnose and efficiently manage patients. It is the main task to reduce each measure of storage and transmission data required for communication. Diacom Image Compression (DIC) is primarily based on the new Efficient Extensible Interchange (EXI) mechanism to realize this goal. Efficient Extensible Interchange is a very lightweight, high-performance XML representation that was designed to function well in a wide variety of applications. It boosts performance while slashing bandwidth requirements, all while preserving other resources including battery life, code size, computing power, and memory. The proposed work focuses on advance compression methodology for patient’s historical data, electronic medical records of clinical information, and diagnostic test record. The results of the simulation recommends that the outcome of the proposed mechanism is better than the current approach. The present work compares the proposed methods with existing methodology and experimental analysis depicts that EXI based compression methodology is far better than traditional SVD compression methodology.

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Published

2021-07-16

Issue

Section

Articles