Using the pixel information value parameter in an entropy image analysis criterion

The work is devoted to the development and research of the entropy criterion of image analysis on its corresponding to the method of RLE-compression. The Lab color model and the CIEDE1976 color estimation metric have been analyzed. The pixel information importance parameter has been introduced, whic...

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Main Authors: R. Kvyetnyy, A. Olesenko
Format: Article
Language:English
Published: LLC Production and Commercial Company «FAVOR, LTD» 2018-08-01
Series:Метрологія та прилади
Subjects:
Online Access:https://mmi-journal.org/index.php/journal/article/view/61
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spelling doaj-ffd2a103d5d34ee1a449614c46ffb2ec2020-11-25T00:18:33ZengLLC Production and Commercial Company «FAVOR, LTD»Метрологія та прилади2307-21802663-95642018-08-014677210.33955/2307-2180(4)2018.67-7261Using the pixel information value parameter in an entropy image analysis criterionR. Kvyetnyy0A. Olesenko1Vinnytsia National Technical UniversityVinnytsia National Technical UniversityThe work is devoted to the development and research of the entropy criterion of image analysis on its corresponding to the method of RLE-compression. The Lab color model and the CIEDE1976 color estimation metric have been analyzed. The pixel information importance parameter has been introduced, which is based on the above described metric and allows us to estimate the importance of the adjacent pixel taking into consideration the information it introduces in relation to the previous pixel. The modified entropy image analysis criterion has been developed taking into account the pixel’s information importance parameter. The adequacy of the proposed criterion has been checked on the sample of standard test images and the feasibility of its use has been proved.https://mmi-journal.org/index.php/journal/article/view/61entropy, criterion, parameter, pixel, image, color model, color distance, Lab, RLE.
collection DOAJ
language English
format Article
sources DOAJ
author R. Kvyetnyy
A. Olesenko
spellingShingle R. Kvyetnyy
A. Olesenko
Using the pixel information value parameter in an entropy image analysis criterion
Метрологія та прилади
entropy, criterion, parameter, pixel, image, color model, color distance, Lab, RLE.
author_facet R. Kvyetnyy
A. Olesenko
author_sort R. Kvyetnyy
title Using the pixel information value parameter in an entropy image analysis criterion
title_short Using the pixel information value parameter in an entropy image analysis criterion
title_full Using the pixel information value parameter in an entropy image analysis criterion
title_fullStr Using the pixel information value parameter in an entropy image analysis criterion
title_full_unstemmed Using the pixel information value parameter in an entropy image analysis criterion
title_sort using the pixel information value parameter in an entropy image analysis criterion
publisher LLC Production and Commercial Company «FAVOR, LTD»
series Метрологія та прилади
issn 2307-2180
2663-9564
publishDate 2018-08-01
description The work is devoted to the development and research of the entropy criterion of image analysis on its corresponding to the method of RLE-compression. The Lab color model and the CIEDE1976 color estimation metric have been analyzed. The pixel information importance parameter has been introduced, which is based on the above described metric and allows us to estimate the importance of the adjacent pixel taking into consideration the information it introduces in relation to the previous pixel. The modified entropy image analysis criterion has been developed taking into account the pixel’s information importance parameter. The adequacy of the proposed criterion has been checked on the sample of standard test images and the feasibility of its use has been proved.
topic entropy, criterion, parameter, pixel, image, color model, color distance, Lab, RLE.
url https://mmi-journal.org/index.php/journal/article/view/61
work_keys_str_mv AT rkvyetnyy usingthepixelinformationvalueparameterinanentropyimageanalysiscriterion
AT aolesenko usingthepixelinformationvalueparameterinanentropyimageanalysiscriterion
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