Estimates for information quantity in probability model in image encoding

Upper bounds are obtained for the amount of information in functional classes with initial uncertainty. These classes are similar to the classes of images with bounded variance. We use the probability model of the theory of information complexity. Unlike the case of classes $KH_{0}^{ α}$ , it turns...

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Date:1995
Main Authors: Tyrygin, I. Ya., Тырыгин, И. Я.
Format: Article
Language:Russian
English
Published: Institute of Mathematics, NAS of Ukraine 1995
Online Access:https://umj.imath.kiev.ua/index.php/umj/article/view/5461
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Journal Title:Ukrains’kyi Matematychnyi Zhurnal
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Ukrains’kyi Matematychnyi Zhurnal
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author Tyrygin, I. Ya.
Тырыгин, И. Я.
Тырыгин, И. Я.
author_facet Tyrygin, I. Ya.
Тырыгин, И. Я.
Тырыгин, И. Я.
author_sort Tyrygin, I. Ya.
baseUrl_str https://umj.imath.kiev.ua/index.php/umj/oai
collection OJS
datestamp_date 2020-03-19T08:59:28Z
description Upper bounds are obtained for the amount of information in functional classes with initial uncertainty. These classes are similar to the classes of images with bounded variance. We use the probability model of the theory of information complexity. Unlike the case of classes $KH_{0}^{ α}$ , it turns out that, in this case, the method of differential pulse-code modulation does not give any advantage as compared to the deterministic case.
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spelling umjimathkievua-article-54612020-03-19T08:59:28Z Estimates for information quantity in probability model in image encoding Оценки количества информации в вероятностной модели кодирования изображений Tyrygin, I. Ya. Тырыгин, И. Я. Тырыгин, И. Я. Upper bounds are obtained for the amount of information in functional classes with initial uncertainty. These classes are similar to the classes of images with bounded variance. We use the probability model of the theory of information complexity. Unlike the case of classes $KH_{0}^{ α}$ , it turns out that, in this case, the method of differential pulse-code modulation does not give any advantage as compared to the deterministic case. Одержані оцінки зверху на кількість інформації у функціональних класах з первісною невизначеністю, аналогічних класам зображень з обмеженою дисперсією. Використовується ймовірнісна модель теорії інформаційної складності. На відміну від класів $KH_{0}^{ α}$, виявляється, що за даних умов метод типу диференціальної імпульсно-кодової модуляції не дає виграшу відносно детерміністського випадку. Institute of Mathematics, NAS of Ukraine 1995-04-25 Article Article application/pdf https://umj.imath.kiev.ua/index.php/umj/article/view/5461 Ukrains’kyi Matematychnyi Zhurnal; Vol. 47 No. 4 (1995); 573-576 Український математичний журнал; Том 47 № 4 (1995); 573-576 1027-3190 rus en https://umj.imath.kiev.ua/index.php/umj/article/view/5461/7611 https://umj.imath.kiev.ua/index.php/umj/article/view/5461/7612 Copyright (c) 1995 Tyrygin I. Ya.
spellingShingle Tyrygin, I. Ya.
Тырыгин, И. Я.
Тырыгин, И. Я.
Estimates for information quantity in probability model in image encoding
title Estimates for information quantity in probability model in image encoding
title_alt Оценки количества информации в вероятностной модели кодирования изображений
title_full Estimates for information quantity in probability model in image encoding
title_fullStr Estimates for information quantity in probability model in image encoding
title_full_unstemmed Estimates for information quantity in probability model in image encoding
title_short Estimates for information quantity in probability model in image encoding
title_sort estimates for information quantity in probability model in image encoding
url https://umj.imath.kiev.ua/index.php/umj/article/view/5461
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