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Dynamic Dark Channel Prior Dehazing with Polarization [PDF]
Applied Sciences, 2023 For traditional dark channel prior (DCP) imaging through haze environments, intensity information acts as the carrier to acquire the reflective character of the dehazed target image. We introduce polarization as auxiliary information into the traditional
Haotong Suo +6 more
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Self-supervised zero-shot dehazing network based on dark channel prior [PDF]
Frontiers of Optoelectronics, 2023 Most learning-based methods previously used in image dehazing employ a supervised learning strategy, which is time-consuming and requires a large-scale dataset. However, large-scale datasets are difficult to obtain.
Xinjie Xiao +4 more
doaj +3 more sources
Image Defogging Framework Using Segmentation and the Dark Channel Prior [PDF]
Entropy, 2021 Foggy images suffer from low contrast and poor visibility problem along with little color information of the scene. It is imperative to remove fog from images as a pre-processing step in computer vision.
Sabiha Anan +5 more
doaj +6 more sources
Specular Reflection Image Enhancement Based on a Dark Channel Prior [PDF]
IEEE 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 +5 more sources
Density Estimation of Fog in Image Based on Dark Channel Prior [PDF]
Atmosphere, 2022 This paper proposes a method and an original index for the estimation of fog density using images or videos. The proposed method had the advantages of convenient operation and low costs for applications in automatic driving and environmental monitoring ...
Hong Guo, Xiaochun Wang, Hongjun Li
doaj +3 more sources
Haze Level Evaluation Using Dark and Bright Channel Prior Information [PDF]
Atmosphere, 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
Enhanced CycleGAN Network with Adaptive Dark Channel Prior for Unpaired Single-Image Dehazing. [PDF]
Entropy (Basel), 2023 Unpaired single-image dehazing has become a challenging research hotspot due to its wide application in modern transportation, remote sensing, and intelligent surveillance, among other applications. Recently, CycleGAN-based approaches have been popularly
Xu Y, Zhang H, He F, Guo J, Wang Z.
europepmc +2 more sources
Segmentation-based image defogging using modified dark channel prior [PDF]
EURASIP Journal on Image and Video Processing, 2020 Image acquisition under bad weather conditions is prone to yield image with low contrast, faded color, and overall poor visibility. Different computer vision applications including surveillance, object classification, tracking, and recognition get ...
Aneela Sabir +2 more
doaj +2 more sources
Generalization of the Dark Channel Prior for Single Image Restoration [PDF]
IEEE Transactions on Image Processing, 2018 Images degraded by light scattering and absorption, such as hazy, sandstorm, and underwater images, often suffer color distortion and low contrast because of light traveling through turbid media. In order to enhance and restore such images, we first estimate ambient light using the depth-dependent color change.
Yan-Tsung Peng +2 more
openaire +6 more sources
A Single Image Enhancement Technique Using Dark Channel Prior [PDF]
Applied Sciences, 2021 In this paper, we propose a novel single image enhancement technique for defogging by using dark channel prior. The traditional dark channel prior methods for defogging have problems of high time complexity, edge effect, and failure of dark channel prior.
Cong Wang +3 more
doaj +2 more sources