Enhancement technique of underground image based on dark channel prior

Autor:	ZHANG Yingjun, LEI Yaohua, PAN Lihu
Jazyk:	čínština
Rok vydání:	2015
Předmět:	coal mine image enhancement linear fuzzification dark channel prior image in fog and dust contrast Mining engineering. Metallurgy TN1-997
Zdroj:	Gong-kuang zidonghua, Vol 41, Iss 3, Pp 80-83 (2015)
Druh dokumentu:	article
ISSN:	1671-251X 1671-251x
DOI:	10.13272/j.issn.1671-251x.2015.03.020
Popis:	In view of problem that existing image fuzzy enhancement algorithm of underground coal mine cannot deal with the situation when the image is in fog and the processed images are obscure, the paper proposed an enhancement technique of underground image based on dark channel prior. The technique uses linear fuzzification function to achieve the purpose of image enhancement, and adopts dark channel prior theory to enhance image contrast, meanwhile realizes defogging and dedusting. The experimental results show that the proposed technique can improve visibility of underground image and significantly enhance image contrast.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/8039bbff153b4a78af7de0e44c6830ff Zobrazit plný text záznamu View record in DOAJ