Results 21 to 30 of about 3,680,235 (308)

Image Haze Removal Using Dark Channel Prior and Inverse Image

open access: yesMATEC Web of Conferences, 2016
Image haze removal using dark channel prior is prone to encountering color distortion in sky and brightness region. To solve the problem, we proposed an improved method based on inverse image and dark channel prior.
Shi Lei   +5 more
doaj   +3 more sources

Efficient single image dehazing by modifying the dark channel prior [PDF]

open access: yesEURASIP Journal on Image and Video Processing, 2019
Outdoor images can be degraded due to the particles in the air that absorb and scatter light. The produced degradation generates contrast attenuation, blurring, and distortion in pixels, resulting in low visibility. These limit the efficiency of computer
Sebastián Salazar-Colores   +3 more
doaj   +2 more sources

Polarization Imaging Descattering Based on Dark Channel Prior Background Light Estimation

open access: yesIEEE Photonics Journal
In turbid water environments, conventional polari-metric imaging descattering methods usually rely on selecting a non-target background region as a substitute for global back-ground light information, leading to image clarity. By integrating polarization
Jiarui Zhang, Yaxin Cai, Ming Fang
doaj   +2 more sources

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

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   +2 more sources

Improved Vehicle Detection Using Weather Classification and Faster R-CNN with Dark Channel Prior

open access: yesElectronics, 2023
Recent advancements in artificial intelligence have led to significant improvements in object detection. Researchers have focused on enhancing the performance of object detection in challenging environments, as this has the potential to enhance practical
Ershang Tian, Juntae Kim
semanticscholar   +2 more sources

Gaussian filter-based dark channel prior for image dehazing enhancement [PDF]

open access: yesInternational Journal of Electrical and Computer Engineering (IJECE)
The presence of haze in an image is one of the challenges in computer vision tasks, such as remote sensing, object monitoring, and traffic monitoring applications. The hazy image is considered to contain noise and it can interfere with the image analysis
O. D. Nurhayati   +3 more
semanticscholar   +2 more sources

Single image dehazing using extended local dark channel prior

open access: yesImage and Vision Computing, 2023
Soumendu Chakraborty, Pulkit Dwivedi
exaly   +2 more sources

IMAGE FAST DEHAZING ALGORITHM BASED ON DARK CHANNEL PRIOR IMPROVEMENT [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
Aiming at the long-running time and the defogging image darkening problem in the dark channel prior algorithm, a fast deaeration algorithm based on the guided filter and improved two-dimensional gamma function for dark channel prior image is proposed ...
J. W. Li   +7 more
doaj   +1 more source

A Multi-Scale Dehazing Network with Dark Channel Priors

open access: yesSensors, 2023
Image dehazing based on convolutional neural networks has achieved significant success; however, there are still some problems, such as incomplete dehazing, color deviation, and loss of detailed information. To address these issues, in this study, we propose a multi-scale dehazing network with dark channel priors (MSDN-DCP).
Guoliang Yang   +4 more
openaire   +3 more sources

Region Adaptive Single Image Dehazing

open access: yesEntropy, 2021
Image haze removal is essential in preprocessing for computer vision applications because outdoor images taken in adverse weather conditions such as fog or snow have poor visibility.
Changwon Kim
doaj   +1 more source

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