Results 21 to 30 of about 870,321 (334)
Remote Sensing Image Dehazing Using Heterogeneous Atmospheric Light Prior
Remote sensing images (RSIs) captured in haze weather will suffer from serious quality degradation with color distortion and contrast reduction, which creates numerous challenges for the utilization of RSIs. To address these issues, this paper proposes a
Yufeng He, Cuili Li, Xu Li
doaj +1 more source
Defogging algorithm of underground coal mine image based on adaptive dual-channel prior
When dark channel prior algorithm is used to deal with underground coal mine images, there are problems of image distortion, lack of details and dark light.
WANG Yuanbin +3 more
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This study proposes real-time haze removal from a single image using normalised pixel-wise dark-channel prior (DCP). DCP assumes that at least one RGB colour channel within most local patches in a haze-free image has a low-intensity value.
Yutaro Iwamoto +2 more
doaj +1 more source
Closing in on t-channel simplified dark matter models
8 pages, 3 figures, version accepted by ...
Arina, Chiara +5 more
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Forbidden Channels and SIMP Dark Matter [PDF]
In this review, we focus on dark matter production from thermal freeze-out with forbidden channels and SIMP processes. We show that forbidden channels can be dominant to produce dark matter depending on the dark photon and / or dark Higgs mass compared to SIMP.
Choi Soo-Min, Kang Yoo-Jin, Lee Hyun Min
openaire +3 more sources
A Single Image Enhancement Technique Using Dark Channel Prior
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 +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
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GAN based image deblurring using dark channel prior [PDF]
5 pages, 3 figures.
Zhang, Shuang +2 more
openaire +2 more sources
In this paper, a method to remove the smoke effects in laparoscopic images is presented. The proposed method is based on an image-to-image conditional generative adversarial network endowed with a dark channel's embedded guide mask.
Sebastian Salazar-Colores +3 more
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A Single Image Deblurring Approach Based on a Fractional Order Dark Channel Prior
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 +1 more source

