Results 31 to 40 of about 120,890 (299)

Haze Removal System using Dark Channel Prior

open access: yesInternational Journal for Research in Applied Science and Engineering Technology, 2021
Mostly in winter season, the Northern area of India is mostly affected due to heavy haze. The road traffic and air traffic is affected due to poor visibility. According to the survey of Ministry of Road Transport and Highways of India, the number of accident due to poor visibility increasing every year.
openaire   +1 more source

Single Image Dehazing using Extended Local Dark Channel Prior

open access: yesImage and Vision Computing, 2022
Abstract Image dehazing is an important technique aimed at eliminating the haze in the atmosphere to enhance the image's visual quality. There are many applications where it has been used as a prepossessing step, such as in event detection. In recent years, the dark channel prior methodology has been recognised as an effective approach for ...
Pulkit Dwivedi, Soumendu Chakraborty
openaire   +1 more source

l2‐norm‐based prior for haze‐removal from single image

open access: yesIET Computer Vision, 2016
Climatic and atmospheric phenomena – such as haze, fog and smoke – may lead to deterioration of quality and poor scenic clarity of outdoor images. In computer graphics, the authors can model these images as a linear combination of scene radiance, medium ...
Deepak Kumar Jha   +2 more
doaj   +1 more source

Definition Recovery of Haze Image Based on Dark Channel Prior [PDF]

open access: yesJisuanji gongcheng, 2016
Traditional dark channel prior algorithm needs a long time to deal with a single image,and the quality of the processed image can be further optimized.Aiming at this problem,this paper proposed an improved algorithm.It adopts Canny edge operator to ...
FU Hui,WU Bin,LI Linfei,ZHANG Hongying
doaj   +1 more source

Image Dehazing Algorithm Using Improved Dark Channel Prior and Strategic Fusion [PDF]

open access: yesJisuanji gongcheng, 2023
To address the problems of halo effect, color distortion, and poor treatment of sky regions in the Dark Channel Prior(DCP) algorithm for image dehazing, a novel image dehazing algorithm using an improved DCP and strategic fusion is proposed. Based on the
Xiaoling WANG, Zhijie HU, Shuaishuai XU, Haoru HUANG
doaj   +1 more source

Adaptive Tolerance Dehazing Algorithm Based on Dark Channel Prior

open access: yesAlgorithms, 2020
The tolerance mechanism based on dark channel prior (DCP) of a single image dehazing algorithm is less effective when there are large areas of the bright region in the hazy image because it cannot obtain the tolerance adaptively according to the ...
Fan Yang, ShouLian Tang
doaj   +1 more source

An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation

open access: yesRobotics, 2018
There are many tasks that require clear and easily recognizable images in the field of underwater robotics and marine science, such as underwater target detection and identification of robot navigation and obstacle avoidance.
Kun Xie, Wei Pan, Suxia Xu
doaj   +1 more source

Image Dehazing in Disproportionate Haze Distributions

open access: yesIEEE Access, 2021
Haze removal techniques employed to increase the visibility level of an image play an important role in many vision-based systems. Several traditional dark channel prior-based methods have been proposed to remove haze formation and thereby enhance the ...
Shih-Chia Huang   +7 more
doaj   +1 more source

Multispectral Image Enhancement Based on the Dark Channel Prior and Bilateral Fractional Differential Model

open access: yesRemote Sensing, 2022
Compared with single-band remote sensing images, multispectral images can obtain information on the same target in different bands. By combining the characteristics of each band, we can obtain clearer enhanced images; therefore, we propose a ...
Weijie Chen   +3 more
doaj   +1 more source

A Region-Wised Medium Transmission Based Image Dehazing Method

open access: yesIEEE Access, 2017
Image dehazing is a technique to enhance the images acquired in poor weather conditions, such as fog and haze. Existing image dehazing methods are mainly based on dark channel prior.
Hui Yuan   +3 more
doaj   +1 more source

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