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Image Compression Radiography using Haar Wavelet Transform

by Swati Narula, Sunanada Gupta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 18
Year of Publication: 2015
Authors: Swati Narula, Sunanada Gupta
10.5120/20653-3187

Swati Narula, Sunanada Gupta . Image Compression Radiography using Haar Wavelet Transform. International Journal of Computer Applications. 117, 18 ( May 2015), 14-15. DOI=10.5120/20653-3187

@article{ 10.5120/20653-3187,
author = { Swati Narula, Sunanada Gupta },
title = { Image Compression Radiography using Haar Wavelet Transform },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 18 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number18/20653-3187/ },
doi = { 10.5120/20653-3187 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:59:42.894585+05:30
%A Swati Narula
%A Sunanada Gupta
%T Image Compression Radiography using Haar Wavelet Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 18
%P 14-15
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With significant increase in desire of multimedia machinery, the complication of strained bandwidth of a network and cache capacity arises. In fields such as Telemedicine, compact storage and adequate transmission of medical images is of bloom importance. Thus, a medical image abide to be compressed fore transmission . These have actuate the need for Image Compression. Image compression has become a necessity to ensure their storage and transfer in the network, while maintaining minimal time cost. In this paper we present a study and analysis of an image compression approach occupying on the principle of compression by Discrete Wavelet Transform (DWT). Haar wavelet transform based compression is one of the process that can be applied for compressing images. The method uses different specifications such as peak signal to noise ratio, mean squared error, & signal to noise ratio to measure the performance and for comparing the results. This paper shows the objectives and methodology used for compressing different medical images and experimental results are presented and compared.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image compression Wavelet Haar Radiographs Retained Energy.

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