Lossless predictive compression of medical images

Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the...

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Main Authors: Avramović Aleksej, Savić Slavica
Format: Article
Language:English
Published: Faculty of Technical Sciences in Cacak 2011-01-01
Series:Serbian Journal of Electrical Engineering
Subjects:
Online Access:http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691101027A.pdf
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author Avramović Aleksej
Savić Slavica
author_facet Avramović Aleksej
Savić Slavica
author_sort Avramović Aleksej
collection DOAJ
description Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can distinguish the transformation-based and prediction-based approaches. This paper presents algorithms for the prediction based on the edge detection and estimation of local gradient. Also, a novel prediction algorithm based on advantages of standardized median predictor and gradient predictor is presented and analyzed. Removed redundancy estimation was done by comparing entropies of the medical image after prediction.
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spelling doaj.art-b0bec8cc623941e9a6f70c308b961deb2022-12-22T00:34:59ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832011-01-0181273610.2298/SJEE1101027A1451-48691101027ALossless predictive compression of medical imagesAvramović Aleksej0Savić Slavica1Faculty of Electrical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina%SR91-09Faculty of Electrical Engineering, University of Banja Luka, Banja Luka, Bosnia and Herzegovina%SR91-09Among the many categories of images that require lossless compression, medical images can be indicated as one of the most important category. Medical image compression with loss impairs of diagnostic value, therefore, there are often legal restrictions on the image compression with losses. Among the common approaches to medical image compression we can distinguish the transformation-based and prediction-based approaches. This paper presents algorithms for the prediction based on the edge detection and estimation of local gradient. Also, a novel prediction algorithm based on advantages of standardized median predictor and gradient predictor is presented and analyzed. Removed redundancy estimation was done by comparing entropies of the medical image after prediction.http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691101027A.pdfmedical imagingdigital image processinglossless image compressionprediction
spellingShingle Avramović Aleksej
Savić Slavica
Lossless predictive compression of medical images
Serbian Journal of Electrical Engineering
medical imaging
digital image processing
lossless image compression
prediction
title Lossless predictive compression of medical images
title_full Lossless predictive compression of medical images
title_fullStr Lossless predictive compression of medical images
title_full_unstemmed Lossless predictive compression of medical images
title_short Lossless predictive compression of medical images
title_sort lossless predictive compression of medical images
topic medical imaging
digital image processing
lossless image compression
prediction
url http://www.doiserbia.nb.rs/img/doi/1451-4869/2011/1451-48691101027A.pdf
work_keys_str_mv AT avramovicaleksej losslesspredictivecompressionofmedicalimages
AT savicslavica losslesspredictivecompressionofmedicalimages