Detail Preserving Low Illumination Image and Video Enhancement Algorithm Based on Dark Channel Prior [PDF]
In low illumination situations, insufficient light in the monitoring device results in poor visibility of effective information, which cannot meet practical applications.
Lingli Guo +3 more
doaj +2 more sources
Retracted: Research on Haze Image Enhancement based on Dark Channel Prior Algorithm in Machine Vision. [PDF]
Environmental And Public Health JO.
europepmc +3 more sources
Efficient Traffic Video Dehazing Using Adaptive Dark Channel Prior and Spatial–Temporal Correlations [PDF]
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 +2 more sources
Polarimetric Dark Channel Prior Descattering
Jinge Guan, Miao Ma, Yongsheng Huo
+4 more sources
Unsupervised Single Image Dehazing Using Dark Channel Prior Loss [PDF]
Single image dehazing is a critical stage in many modern-day autonomous vision applications. Early prior-based methods often involved a time-consuming minimization of a hand-crafted energy function. Recent learning-based approaches utilize the representational power of deep neural networks (DNNs) to learn the underlying transformation between hazy and ...
Alona Golts +2 more
openalex +5 more sources
Enhanced CycleGAN Network with Adaptive Dark Channel Prior for Unpaired Single-Image Dehazing. [PDF]
Xu Y, Zhang H, He F, Guo J, Wang Z.
europepmc +3 more sources
IMAGE FAST DEHAZING ALGORITHM BASED ON DARK CHANNEL PRIOR IMPROVEMENT [PDF]
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
Single-Image Dehazing Using Extreme Reflectance Channel Prior
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 +1 more source
Region Adaptive Single Image Dehazing
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
Single-Image Dehazing Based on Improved Bright Channel Prior and Dark Channel Prior
Single-image dehazing plays a significant preprocessing role in machine vision tasks. As the dark-channel-prior method will fail in the sky region of the image, resulting in inaccurately estimated parameters, and given the failure of many methods to address a large band of haze, we propose a simple yet effective method for single-image dehazing based ...
Chuan Li +6 more
openaire +1 more source

