Results 21 to 30 of about 739 (170)
Enhanced CycleGAN Network with Adaptive Dark Channel Prior for Unpaired Single-Image Dehazing
Entropy, 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
Yijun Xu +4 more
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New approach to dehaze single nighttime image
Xibei Gongye Daxue Xuebao, 2021 This paper focus on the dehazing of a single image captured at nighttime. The current state-of-the-art nighttime dehazing approaches usually suffer from the color shift problem due to the fact that the assumptions enforced underdaytime cannot get applied
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DEEP LEARNING MODEL FOR HAZE REMOVAL FROM REMOTE SENSING IMAGES [PDF]
, 2023 Satellite image haze removal techniques are extensively used in several outdoor applications. Lack of sufficient knowledge that is required to restore hazy satellite images, the existing techniques usually use various attributes and assign constant ...
Y. Ravi Sankaraiah, Madathala Guru Prasad Reddy, Ongolu Venkata Praveen Reddy, Kummagiri Muralikrishna, Kunda Chandra Sekhar Sai
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Single Image Dehazing Using End-to-End Deep-Dehaze Network [PDF]
Electronics, 2020 Haze is a natural distortion to the real-life images due to the specific weather conditions. This distortion limits the perceptual fidelity, as well as information integrity, of a given image. Image dehazing for the observed images is a complicated task because of its ill-posed nature.
Masud An-Nur Islam Fahim, Ho Yub Jung
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Enhanced Variational Image Dehazing [PDF]
SIAM Journal on Imaging Sciences, 2015 Images obtained under adverse weather conditions, such as haze or fog, typically/nexhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling/nthe image structure under the haze layer and recovering vivid colors out of a single image/nremains a challenging task, since the degradation is depth-dependent and
Adrian Galdran +3 more
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IMAGE DEHAZING USING FAST ITERATIVE DOMAIN GUIDED IMAGE FILTERING WITH GRAY WORLD OPTIMIZATION [PDF]
Proceedings on Engineering SciencesWhen remote sensing photos are taken, they are often captured in hazy circumstances such as fog, snow, thin clouds, dust, and other similar situations, which causes the contrast in the image to decrease.
Bhaskar Reddy Bada +3 more
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Single-Image Dehazing Using Extreme Reflectance Channel Prior
IEEE 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
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Enhancement of Low Contrast Images Based on Effective Space Combined with Pixel Learning
Information, 2017 Images captured in bad conditions often suffer from low contrast. In this paper, we proposed a simple, but efficient linear restoration model to enhance the low contrast images.
Gengfei Li, Guiju Li, Guangliang Han
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Nighttime Image Dehazing Based on Point Light Sources
Applied Sciences, 2022 Images routinely suffer from quality degradation in fog, mist, and other harsh weather conditions. Consequently, image dehazing is an essential and inevitable pre-processing step in computer vision tasks.
Xin-Wei Yao +4 more
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NTIRE 2020 Challenge on NonHomogeneous Dehazing
, 2020 This paper reviews the NTIRE 2020 Challenge on NonHomogeneous Dehazing of images (restoration of rich details in hazy image). We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze ...
Ancuti, Codruta O. +51 more
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