Results 11 to 20 of about 3,680,235 (308)

Efficient Sandstorm Image Enhancement Using the Normalized Eigenvalue and Adaptive Dark Channel Prior

open access: yesTechnologies, 2021
A sandstorm image has features similar to those of a hazy image with regard to the obtaining process. However, the difference between a sand dust image and a hazy image is the color channel balance.
Ho Sang Lee
doaj   +4 more sources

Hybrid Dark Channel Prior for Image Dehazing Based on Transmittance Estimation by Variant Genetic Algorithm

open access: yesApplied Sciences, 2023
Image dehazing has always been one of the main areas of research in image processing. The traditional dark channel prior algorithm (DCP) has some shortcomings, such as incomplete fog removal and excessively dark images.
Long Wu   +6 more
doaj   +3 more sources

Efficient Traffic Video Dehazing Using Adaptive Dark Channel Prior and Spatial–Temporal Correlations [PDF]

open access: yesSensors, 2019
In order to restore traffic videos with different degrees of haziness in a real-time and adaptive manner, this paper presents an efficient traffic video dehazing method using adaptive dark channel prior and spatial-temporal correlations. This method uses
Tianyang Dong   +4 more
doaj   +3 more sources

A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior [PDF]

open access: yesInternational Journal of Applied Mathematics and Computer Science, 2022
The dark channel prior has been successfully applied to solve the blind deblurring problem on different scene images. Since the dark channel of the blurry-noise image is similar to that of the corresponding clear image, the sparsity of the dark channel ...
Yu Xiaoyuan, Xie Wei, Yu Jinwei
doaj   +2 more sources

Nighttime low illumination image enhancement with single image using bright/dark channel prior

open access: yesEURASIP Journal on Image and Video Processing, 2018
Nighttime low illumination image enhancement is highly desired for outdoor computer vision applications. However, few works have been studied towards this goal. In addition, the low illumination enhancement problem becomes very challenging when the depth
Zhenghao Shi   +4 more
doaj   +2 more sources

Single-Image Dehazing Using Extreme Reflectance Channel Prior

open access: yesIEEE Access, 2021
Image dehazing algorithms based on dark channel prior principle have achieved good results for most scenes. However, the popular dark channel prior tends to underestimate transmissions of bright areas or objects, such as the skies, white areas and self ...
Yutong Zhang   +6 more
doaj   +2 more sources

Specular Reflection Image Enhancement Based on a Dark Channel Prior [PDF]

open access: yesIEEE Photonics Journal, 2021
In this paper, we propose a specular highlight image enhancement algorithm based on a dark channel prior to solve the problem of information loss in specular highlight images in real scenes.
Ye Xin   +3 more
doaj   +2 more sources

Improved reflection removal with dark channel prior

open access: yes, 2021
This article proposed an idea that the quality of reflection removal can be improved by preprocess the input image with a dehaze method (which is dark channel prior in this paper).
yuan liu
openaire   +3 more sources

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   +2 more sources

Haze Level Evaluation Using Dark and Bright Channel Prior Information

open access: yesAtmosphere, 2022
Haze level evaluation is highly desired in outdoor scene monitoring applications. However, there are relatively few approaches available in this area. In this paper, a novel haze level evaluation strategy for real-world outdoor scenes is presented.
Ying Chu, Fan Chen, Hong Fu, Hengyong Yu
doaj   +3 more sources

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