Role of Compressed Medical Images In Healthcare

Author(s)	Jyoti, Meenakshi Gahlawat
Country	India
Abstract	This paper will focus on techniques used in patients monitoring in healthcare based on medical images. Lossless coding algorithm, watermark compression (add safety to data), GLCM, Huffman coding, LZW, DCT and soft compression techniques are used for efficient image compression. Lossless coding algorithms helps to reduce image size without losing the data. An image watermarking secret key (ROI) is used in this research to create a watermark that is unique to each picture. By comparing LZW compression with traditional approaches, it was observed that the LZW methodology has better performance than others.
Keywords	Compression, DCT LZW, ROI
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 5, September-October 2023
Published On	2023-10-31
Cite This	Role of Compressed Medical Images In Healthcare - Jyoti, Meenakshi Gahlawat - IJFMR Volume 5, Issue 5, September-October 2023. DOI 10.36948/ijfmr.2023.v05i05.8163
DOI	https://doi.org/10.36948/ijfmr.2023.v05i05.8163
Short DOI	https://doi.org/gs3hd6

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9898-5948-55	editor@ijfmr.com

International Journal For Multidisciplinary Research