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Reseach Article

Image Compression on Region of Interest based on SPIHT Algorithm

by Sudeepti Dayal, Neelesh Gupta, Neetu Sharma
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 11
Year of Publication: 2015
Authors: Sudeepti Dayal, Neelesh Gupta, Neetu Sharma
10.5120/ijca2015907587

Sudeepti Dayal, Neelesh Gupta, Neetu Sharma . Image Compression on Region of Interest based on SPIHT Algorithm. International Journal of Computer Applications. 132, 11 ( December 2015), 41-44. DOI=10.5120/ijca2015907587

@article{ 10.5120/ijca2015907587,
author = { Sudeepti Dayal, Neelesh Gupta, Neetu Sharma },
title = { Image Compression on Region of Interest based on SPIHT Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 11 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number11/23641-2015907587/ },
doi = { 10.5120/ijca2015907587 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:07.608930+05:30
%A Sudeepti Dayal
%A Neelesh Gupta
%A Neetu Sharma
%T Image Compression on Region of Interest based on SPIHT Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 11
%P 41-44
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image abbreviation is utilized for reducing the size of a file without demeaning the quality of the image to an objectionable level. The depletion in file size permits more images to be deposited in a given number of spaces. It also minimizes the time necessary for images to be transferred. Storage of medical images is most researched area in the current scenario. To store a medical image there are two parameters on which the image is divided, region of interest and non region of interest. The best way to store an image is to compress it in such a way that no important information is lost. Compression can be done in two ways namely, lossy and lossless compression. Under that several compression algorithms are applied. In the paper two algorithms are used that are, discrete cosine transform, applied to non region of interest (lossy) and discrete wavelet transform, applied to region of interest (lossless). The paper introduces SPIHT (set partitioning hierarchical tree) algorithm which is applied on the wavelet transform to obtain good compression ratio from which an image can be stored efficiently.

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Index Terms

Computer Science
Information Sciences

Keywords

Compression ratio DWT SPIHT DCT