Application of wavelet transform for image compression in information-measuring systems for medical use

In modern information and measuring systems (IMS), the most informative type of data is images. These can be images that characterize the condition of patients, and the system will have medical applications. Images can be formed in the visible range of electromagnetic radiation waves, or can be the...

Full description

Saved in:
Bibliographic Details
Main Authors: A.G. Stupak, Yu.O. Podchashynskyi, L.O. Chepiuk, O.A. Levkivskyi
Format: Article
Language:English
Published: Zhytomyr Polytechnic State University 2025-07-01
Series:Технічна інженерія
Subjects:
Online Access:https://ten.ztu.edu.ua/article/view/334913
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849246172447768576
author A.G. Stupak
Yu.O. Podchashynskyi
L.O. Chepiuk
O.A. Levkivskyi
author_facet A.G. Stupak
Yu.O. Podchashynskyi
L.O. Chepiuk
O.A. Levkivskyi
author_sort A.G. Stupak
collection DOAJ
description In modern information and measuring systems (IMS), the most informative type of data is images. These can be images that characterize the condition of patients, and the system will have medical applications. Images can be formed in the visible range of electromagnetic radiation waves, or can be the result of recording other types of radiation. High information content, as an important advantage of images, leads to the need to transmit and store a large amount of digital data. Therefore, for effective use of computerized IMS resources, it is necessary to reduce this volume by compression. The required number of compression times is from several tens to hundreds of times. The article considers the theoretical foundations of the direct and inverse wavelet transform and its application in image compression procedures for medical applications, which occurs with some loss of information. By controlling the compression procedure and choosing its parameters, it is possible to ensure an acceptable error in image recovery. It is determined that compression based on the selected wavelet type is possible when it is orthogonal and, accordingly, there is an inverse wavelet transform. Also, to increase the speed of compression procedures, it is proposed to divide the wavelet transform into two one-dimensional procedures applied to rows and columns of the image. An example of the influence of wavelet compression in the JPEG-2000 format on the accuracy of transmitting information about geometric parameters and coordinates of contour points of objects in medical applications of images in IBS is considered.
format Article
id doaj-art-795ec0111337435e8fe3362cfcfffe6e
institution Kabale University
issn 2706-5847
2707-9619
language English
publishDate 2025-07-01
publisher Zhytomyr Polytechnic State University
record_format Article
series Технічна інженерія
spelling doaj-art-795ec0111337435e8fe3362cfcfffe6e2025-08-20T03:58:35ZengZhytomyr Polytechnic State UniversityТехнічна інженерія2706-58472707-96192025-07-01951304311doi.org/10.26642/ten-2025-1(95)-304-311Application of wavelet transform for image compression in information-measuring systems for medical useA.G. Stupak0Yu.O. Podchashynskyi1https://orcid.org/0000-0002-8344-6061L.O. Chepiuk2https://orcid.org/0000-0002-8072-8186O.A. Levkivskyi3https://orcid.org/0000-0003-2706-3629Zhytomyr Polytechnic State University, UkraineZhytomyr Polytechnic State University, UkraineZhytomyr Polytechnic State University, UkraineZhytomyr Polytechnic State University, UkraineIn modern information and measuring systems (IMS), the most informative type of data is images. These can be images that characterize the condition of patients, and the system will have medical applications. Images can be formed in the visible range of electromagnetic radiation waves, or can be the result of recording other types of radiation. High information content, as an important advantage of images, leads to the need to transmit and store a large amount of digital data. Therefore, for effective use of computerized IMS resources, it is necessary to reduce this volume by compression. The required number of compression times is from several tens to hundreds of times. The article considers the theoretical foundations of the direct and inverse wavelet transform and its application in image compression procedures for medical applications, which occurs with some loss of information. By controlling the compression procedure and choosing its parameters, it is possible to ensure an acceptable error in image recovery. It is determined that compression based on the selected wavelet type is possible when it is orthogonal and, accordingly, there is an inverse wavelet transform. Also, to increase the speed of compression procedures, it is proposed to divide the wavelet transform into two one-dimensional procedures applied to rows and columns of the image. An example of the influence of wavelet compression in the JPEG-2000 format on the accuracy of transmitting information about geometric parameters and coordinates of contour points of objects in medical applications of images in IBS is considered.https://ten.ztu.edu.ua/article/view/334913information-measuring systemmedical diagnostic imagesvideo imagescompression with partial information losswavelet transform
spellingShingle A.G. Stupak
Yu.O. Podchashynskyi
L.O. Chepiuk
O.A. Levkivskyi
Application of wavelet transform for image compression in information-measuring systems for medical use
Технічна інженерія
information-measuring system
medical diagnostic images
video images
compression with partial information loss
wavelet transform
title Application of wavelet transform for image compression in information-measuring systems for medical use
title_full Application of wavelet transform for image compression in information-measuring systems for medical use
title_fullStr Application of wavelet transform for image compression in information-measuring systems for medical use
title_full_unstemmed Application of wavelet transform for image compression in information-measuring systems for medical use
title_short Application of wavelet transform for image compression in information-measuring systems for medical use
title_sort application of wavelet transform for image compression in information measuring systems for medical use
topic information-measuring system
medical diagnostic images
video images
compression with partial information loss
wavelet transform
url https://ten.ztu.edu.ua/article/view/334913
work_keys_str_mv AT agstupak applicationofwavelettransformforimagecompressionininformationmeasuringsystemsformedicaluse
AT yuopodchashynskyi applicationofwavelettransformforimagecompressionininformationmeasuringsystemsformedicaluse
AT lochepiuk applicationofwavelettransformforimagecompressionininformationmeasuringsystemsformedicaluse
AT oalevkivskyi applicationofwavelettransformforimagecompressionininformationmeasuringsystemsformedicaluse