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Low Complexity near Lossless Image Compression Technique for Telemedicine

by Mohit Gupta, Narendra D Iondhe
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 29 - Number 7
Year of Publication: 2011
Authors: Mohit Gupta, Narendra D Iondhe
10.5120/3574-4931

Mohit Gupta, Narendra D Iondhe . Low Complexity near Lossless Image Compression Technique for Telemedicine. International Journal of Computer Applications. 29, 7 ( September 2011), 43-50. DOI=10.5120/3574-4931

@article{ 10.5120/3574-4931,
author = { Mohit Gupta, Narendra D Iondhe },
title = { Low Complexity near Lossless Image Compression Technique for Telemedicine },
journal = { International Journal of Computer Applications },
issue_date = { September 2011 },
volume = { 29 },
number = { 7 },
month = { September },
year = { 2011 },
issn = { 0975-8887 },
pages = { 43-50 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume29/number7/3574-4931/ },
doi = { 10.5120/3574-4931 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:15:12.346729+05:30
%A Mohit Gupta
%A Narendra D Iondhe
%T Low Complexity near Lossless Image Compression Technique for Telemedicine
%J International Journal of Computer Applications
%@ 0975-8887
%V 29
%N 7
%P 43-50
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The minimizations of the storage space and transmission time are the two most important riding factors in image compression for telemedicine. Keeping this in view this paper intend to focus on a comparative investigation of three near lossless image compression technique, NLIC (near lossless image compression), SPIHT with DWT (Discrete Wavelets Transform), RLE (Run Length Encoding) with DCT (Discrete Cosine Transform). These techniques are analyzed and tested on various type of square state of art photographic images and medical images. The performance evaluation parameters like PSNR (Peak Signal to Noise Ratio), CR (Compression Ratio), RMSE (Root Mean Square Error), Computational time (CT) are calculated to evaluate the performance of mentioned near lossless image compression techniques.

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Index Terms

Computer Science
Information Sciences

Keywords

Telemedicine SPIHT NLIC RLE DCT Huffman Coding

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