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Haze Removal System using Dark Channel Prior
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.
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Single Image Dehazing using Extended Local Dark Channel Prior
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
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l2‐norm‐based prior for haze‐removal from single image
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
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Definition Recovery of Haze Image Based on Dark Channel Prior [PDF]
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
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Image Dehazing Algorithm Using Improved Dark Channel Prior and Strategic Fusion [PDF]
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
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Adaptive Tolerance Dehazing Algorithm Based on Dark Channel Prior
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
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An Underwater Image Enhancement Algorithm for Environment Recognition and Robot Navigation
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
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Image Dehazing in Disproportionate Haze Distributions
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
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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
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A Region-Wised Medium Transmission Based Image Dehazing Method
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
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