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Performance analysis of SPIHT codec on medical images using DWT and IWT

Revathi M.1 , R. Shenbagavalli2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 571-578, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.571578

Online published on Nov 30, 2018

Copyright © Revathi M., R. Shenbagavalli . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Revathi M., R. Shenbagavalli, “Performance analysis of SPIHT codec on medical images using DWT and IWT,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.571-578, 2018.

MLA Style Citation: Revathi M., R. Shenbagavalli "Performance analysis of SPIHT codec on medical images using DWT and IWT." International Journal of Computer Sciences and Engineering 6.11 (2018): 571-578.

APA Style Citation: Revathi M., R. Shenbagavalli, (2018). Performance analysis of SPIHT codec on medical images using DWT and IWT. International Journal of Computer Sciences and Engineering, 6(11), 571-578.

BibTex Style Citation:
@article{M._2018,
author = {Revathi M., R. Shenbagavalli},
title = {Performance analysis of SPIHT codec on medical images using DWT and IWT},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {571-578},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3207},
doi = {https://doi.org/10.26438/ijcse/v6i11.571578}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.571578}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3207
TI - Performance analysis of SPIHT codec on medical images using DWT and IWT
T2 - International Journal of Computer Sciences and Engineering
AU - Revathi M., R. Shenbagavalli
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 571-578
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

Image compression in medical image processing is a most significant technique which reduces the burden of storage and transmission time over the network with less degradation in the visual quality and without information loss. Image compression techniques are used to reduce the volume of data for effective storage and transmission. They are classified into lossy compression and lossless compression. In this work, Magnetic Resonance Imaging (MRI) of brain and Computer Tomography (CT) of lung images are used for analyzing compression. The images are compressed using Discrete Wavelet Transform (DWT)-Set Partitioning In Hierarchical Trees (SPIHT) and Integer Wavelet Transform (IWT)-SPIHT with three wavelets such as Haar, Sym4 and Coif1. DWT is used for lossy compression and IWT is used for lossless compression of images. The performance metrics such as Peak signal-to-noise ratio (PSNR), Bit Per Pixel (BPP) and Mean square error (MSE) are measured for lung and brain images. The comparative analyses for SPIHT with DWT and IWT are calculated based on the performance of wavelet. The dataset has been collected from various scan centers.

Key-Words / Index Term

Compression, SPIHT, DWT, IWT, BPP, PSNR, MSE

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