Edge Based Compression Using Embedded Zero Wavelet Tree (EBC –EZWT) for Lung Cancer CT Scan Medical Image

Authors(1) :-C. Thirumoorthi

The main objective of the research is to improve the accuracy through edge based EZW transform and compression algorithms for lung cancer medical image. The research objective also includes the development of the Discrete Cosine Transform (DCT) compression Algorithm and Discrete Wavelet Transform (DWT) Compression to enhance the Predictive Accuracy for Lung cancer CT scan reconstructed medical image. The objective of this work is to implement an innovative image compression system for the detection of lung cancer. Compression images obtained from CT scan image can accurately access the reconstructed cancer cells. Proposed edge detection transform coding by employing embedded zero-tree based compression which facilitates attaining significant compression efficiency.

Authors and Affiliations

C. Thirumoorthi
Assistant Professor, Department of Information and Computer Technology, Hindusthan College of Arts and Science Coimbatore, Tamil Nadu, India

EZW, DCT, DWT,Edge Detection CT Scan and Lung Cancer

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 653-659
Manuscript Number : CSEIT1833158
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

C. Thirumoorthi, "Edge Based Compression Using Embedded Zero Wavelet Tree (EBC –EZWT) for Lung Cancer CT Scan Medical Image", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.653-659, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833158

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