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Study of some Non-Linear Transforms for ECG Image Compression

Published on April 2012 by Vibha Aggarwal, Manjeet Singh Patterh
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International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
Foundation of Computer Science USA
IRAFIT - Number 1
April 2012
Authors: Vibha Aggarwal, Manjeet Singh Patterh
66dcbdba-d3cb-4556-8472-6ca054b6d478

Vibha Aggarwal, Manjeet Singh Patterh . Study of some Non-Linear Transforms for ECG Image Compression. International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012). IRAFIT, 1 (April 2012), 25-28.

@article{
author = { Vibha Aggarwal, Manjeet Singh Patterh },
title = { Study of some Non-Linear Transforms for ECG Image Compression },
journal = { International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012) },
issue_date = { April 2012 },
volume = { IRAFIT },
number = { 1 },
month = { April },
year = { 2012 },
issn = 0975-8887,
pages = { 25-28 },
numpages = 4,
url = { /proceedings/irafit/number1/5849-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%A Vibha Aggarwal
%A Manjeet Singh Patterh
%T Study of some Non-Linear Transforms for ECG Image Compression
%J International Conference on Recent Advances and Future Trends in Information Technology (iRAFIT 2012)
%@ 0975-8887
%V IRAFIT
%N 1
%P 25-28
%D 2012
%I International Journal of Computer Applications
Abstract

Out of the many non-linear transform methods the paper is making use of the (i) Essentially Non-Oscillatory cell-average decomposition (ENOCA), (ii) Max-lifting morphological wavelet transform (Maxlift), (iii) Med-lifting morphological wavelet transform (Medlift) and (iv) Morphological Haar wavelet transform (Mhaar) for ECG image compression. This study aims at recreating the image using inverse transforms after compressing the ECG image by making the use of the above mentioned transforms. There is an inversely proportionate relationship between image quality and image compression. This study has been undertaken not for the purpose of quantization and encoding rather an effort is being made to compare the different transform methods for ECG image compression.

References
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  8. http://lifeinthefastlane.com/resources/ecg-database/
Index Terms

Computer Science
Information Sciences

Keywords

Essentially Non-oscillatory Cell-average Decomposition (enoca) Max-lifting Morphological Wavelet Transform (maxlift) Med-lifting Morphological Wavelet Transform (medlift) Morphological Haar Wavelet Transform (mhaar) And Ecg Image Compression