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Research Article |

Compression of Medical images using SPIHT Algorithm for Telemedicine Application

Author(s): Jins Sebastian, Deny J* and Kumar S. N

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 1

Publisher : FOREX Publication

Published : 05 February 2024

e-ISSN : 2347-470X

Page(s) : 48-53

DOI: https://doi.org/10.37391/IJEER.120108

Abstract

Image compression plays a pivotal role in the medical field for the storage and transfer of DICOM images. This research work focuses on the compression of medical images using Set Partitioning in Hierarchy Trees (SPIHT) algorithm. The CT/MR images are used as input, the images are subjected to filtering by a median filter. The CT images in general are corrupted by Gaussian noise and MR images are corrupted by rician noise. The SPIHT algorithm comprises of following phases; transformation into wavelet domain, refinement pass and sorting pass. The Haar wavelet transform is employed and the wavelet coefficients are subjected to sorting and refinement pass. The Haar wavelet transform generates LL, HL, HL and HH sub-bands. In the sorting pass, the coefficients are classified into significant and insignificant. The refinement pass creates the precision bits for the significant coefficients. The main characteristic of the SPIHT algorithm is that it does not use an entropy coder. The reconstructed image in the decoding stage was validated by performance metrics. The SPIHT algorithm generates proficient results, when compared with the classical algorithms like wavelet and embedded zero tree wavelet (EZW) algorithms.

Keywords: Wavelet, EZW, SPIHT, Compression, COVID 19.




Jins Sebastian, Research Scholar, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India; Email: jinsarackaparampil@amaljyothi.ac.in

Deny J*, Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamilnadu, India; Email: j.deny@klu.ac.in

Kumar S. N, Department of Electrical and Electronic Engineering, Amal Jyothi College of Engineering, Kanjirappally, Kerala, India; Email: appu123kumar@gmail.com

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Jins Sebastian, Deny J and Kumar S. N (2024), Compression of Medical images using SPIHT Algorithm for Telemedicine Application. IJEER 12(1), 48-53. DOI: 10.37391/IJEER.120108.