Results 251 to 260 of about 526,256 (284)

Image Haze Removal Based Dark Channel Prior

Applied Mechanics and Materials, 2014
This paper describes the image based on dark channel prior to fog. Dark colors from the statistical laws of outdoor priori no fog image database, it was such a key observation was based on the fact that - the vast majority of each local area outdoor image without fog are present strength of certain of at least one color channel low value pixels.
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A modified dark channel prior for improved dehazing

2015 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2015
Images recorded under tough environment often exhibit problems such as being too light, too dark or not having enough contrast because they are degraded by a number of phenomena like fog, haze, rain and snow. This makes it essential to create accurate, high quality imagery which truly represents the scene.
Deepa Nair, Praveen Sankaran
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Image Dehazing using Dark Channel Prior

2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), 2022
Ch. Pratyusha Chowdari, V Dheeraj Kashyap, K Kiran Kumar, M Raghu Charan, B Akhil   +4 more
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Single image dehazing based on dark channel prior

SPIE Proceedings, 2011
Bad weather, such as fog and haze, can dramatically degrade the visibility of a scene. To solve this problem, we exploit the method of dark channel prior to recover a single haze image, which is based on a key observation - most non-sky local patches in haze-free outdoor images contain some pixels with very low intensities in at least one color ...
Shuyin Tao, Huajun Feng, Zhihai Xu, Qi Li   +3 more
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Underwater image dehazing using modified dark channel prior

2018 Chinese Control And Decision Conference (CCDC), 2018
In an underwater environment, light always scatters and absorbs as it travels from the object to the camera, seriously affecting image quality. As a result, underwater images have poorer contrast, like a haze covering them. In this paper, a modified method for images restoration based on the dark channel prior (DCP) is presented.
Bowen Yao, Ji Xiang
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Improved Dark Channel Prior for Image Defogging

2022 International Conference on Artificial Intelligence and Computer Information Technology (AICIT), 2022
Fan Yang, Yunjie Hu
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Blind Facial Images Deblurring Using Dark Channel Prior

2018 International Conference on Applied Mathematics & Computer Science (ICAMCS), 2018
In recent years, terrorism, accidents, violence thefts have increased, leads to install surveillance cameras everywhere in order to identify the people who have done the bad deeds. In most cases, the images are not clear to identify and know the people, so we have developed a system that helps to improve the image level that identify people.
Aahmed Hamed Abdelmeguid, Aliaa Youssif, Gamal M. I. Selim   +2 more
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Fast image dehazing using improved dark channel prior

2012 IEEE International Conference on Information Science and Technology, 2012
In the frog and haze climatic condition, the captured picture will become blurred and the color is partial gray and white, due to the effect of atmospheric scattering. This situation brings a great deal of inconvenience to the video surveillance system, so the study of defogging algorithm in this weather is of great importance.
Haoran Xu, Jianming Guo, Qing Liu, Lingli Ye   +3 more
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Polarimetric Dark Channel Prior Descattering

2023
Jinge Guan, Yongsheng Huo, Miao Ma
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Improved dark channel prior single image defogging

2021 33rd Chinese Control and Decision Conference (CCDC), 2021
Tongying Guo, Na Li, Chao Zhang
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