Gradational Correction Models Efficiency Analysis of Low-Light Digital Image

Autor:	Kirill Smelyakov, Denys Sandrkin, Anastasiya Chupryna, Mykyta Hvozdiev
Rok vydání:	2019
Předmět:	Digital image business.industry Computer science media_common.quotation_subject Image processing Computer vision Gradation Quality (business) Artificial intelligence Image enhancement business media_common
Zdroj:	2019 Open Conference of Electrical, Electronic and Information Sciences (eStream).
DOI:	10.1109/estream.2019.8732174
Popis:	The presented article describes the most popular unified models of gradation correction of a darkened digital image, makes a comparative analysis of the effectiveness of these models, formulates practical recommendations for using the considered models of gradation correction when solving actual applied problems of improving the quality of darkened digital images.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e8ebb764e7ba4218a37de25f21d53374 https://doi.org/10.1109/estream.2019.8732174 Zobrazit plný text záznamu