Results 41 to 50 of about 11,243,828 (208)
Multiscale Image Dehazing Method Combining Sky Segmentation and Pyramid Fusion [PDF]
Jisuanji gongcheng, 2023 A multiscale image dehazing method that combines sky segmentation and pyramid fusion is proposed to address contrast degradation, dark tones, and overexposure in traditional image dehazing methods.
Xinjie XIAO, Zhiwei LI, Nannan ZHANG, Yuqing SUN, Wuneng ZHOU
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Image dehazing technique based on polarimetric spectral analysis [PDF]
, 2016 Image took under hazy weather suffers from poor contrast and resolution, the haze particles will attenuate the light reflected by the targets and add unwanted scattering light.
Xia, Pu, Liu, Xuebin
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A Model-Driven Deep Dehazing Approach by Learning Deep Priors
IEEE Access, 2021 Photos taken in hazy weather are usually covered with white masks and lose important details. Haze removal is a fundamental task and a prerequisite to many other vision tasks.
Dong Yang, Jian Sun
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Semantic Single-Image Dehazing
CoRR, 2018 Single-image haze-removal is challenging due to limited information contained in one single image. Previous solutions largely rely on handcrafted priors to compensate for this deficiency. Recent convolutional neural network (CNN) models have been used to learn haze-related priors but they ultimately work as advanced image filters.
Ziang Cheng +3 more
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Single image dehazing based on hazy features extraction and enhancement network
Journal of Measurement Science and Instrumentation, 2023 Convolutional neural network is developing rapidly in image processing. Most image dehazing algorithms only focus on dehazing but neglect the overall quality of dehazing image, which leads to problems such as loss of information blurred texture, etc.
ZHANG Jinlong, YANG Yan
doaj
Applied Sciences, 2022 Haze and mist caused by air quality, weather, and other factors can reduce the clarity and contrast of images captured by cameras, which limits the applications of automatic driving, satellite remote sensing, traffic monitoring, etc. Therefore, the study
Yuanbo Yang +5 more
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Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion
Advances in Multimedia, 2023 Image dehazing is one of the problems that need to be solved urgently in the field of computer vision. In recent years, more and more algorithms have been applied to image dehazing and achieved good results.
Shaojin Ma +7 more
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AED-Net: A Single Image Dehazing
IEEE Access, 2022 In the past decade, significant research effort has been directed toward developing single-image dehazing algorithms. Despite this effort, dehazing continues to present a challenge, particularly in complex real-world cases.
Sargis A. Hovhannisyan +3 more
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Fusion-based Variational Image Dehazing [PDF]
IEEE Signal Processing Letters, 2016 We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) method is a spatially varying image enhancement process that first minimizes a previously proposed variational formulation that ...
Adrian Galdran +3 more
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NEAR-INFRARED GUIDED COLOR IMAGE DEHAZING [PDF]
, 2013 Near-infrared (NIR) light has stronger penetration capability than visible light due to its long wavelength, thus being less scattered by particles in the air.
Xiaopeng Zhang +9 more
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