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Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2018 Accepted at CVPRW: NTIRE ...
Deniz Engin +2 more
openaire +4 more sources
A novel simulation for polarization dehazing
IEEE Signal Processing Letters, 2023 Haze and fog, as severe weather conditions, have absorbing and scattering effects on the optical images, severely affecting image quality. Polarization-based dehazing algorithms can estimate the original radiance distribution of the scene through the polarization of skylight and transmitted light.
Changda Yan +4 more
openaire +2 more sources
Sparse Depth-Guided Image Enhancement Using Incremental GP with Informative Point Selection
Sensors, 2023 We propose an online dehazing method with sparse depth priors using an incremental Gaussian Process (iGP). Conventional approaches focus on achieving single image dehazing by using multiple channels.
Geonmo Yang +3 more
doaj +1 more source
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
openaire +2 more sources
Survey of Transformer-Based Single Image Dehazing Methods [PDF]
Jisuanji kexue yu tansuoAs a fundamental computer vision task, image dehazing aims to preprocess degraded images by restoring color contrast and texture information to improve visibility and image quality, thereby the clear images can be recovered for subsequent high-level ...
ZHANG Kaili, WANG Anzhi, XIONG Yawei, LIU Yun
doaj +1 more source
A Fast Single Image Haze Removal Algorithm Using Color Attenuation Prior [PDF]
, 2015 Single image haze removal has been a challenging problem due to its ill-posed nature. In this paper, we propose a simple but powerful color attenuation prior for haze removal from a single input hazy image.
Zhu, Qingsong +5 more
core +1 more source
Single image dehazing for real colored-haze images
, 2021 Since the problem of image dehazing is of great significance and challenging, it has attracted many researchers for a long time. Many excellent dehazing algorithms have emerged one after another.
Wu, Zijun
core +2 more sources
Unsupervised water scene dehazing network using multiple scattering model.
PLoS ONE, 2021 In water scenes, where hazy images are subject to multiple scattering and where ideal data sets are difficult to collect, many dehazing methods are not as effective as they could be.
Shunmin An +4 more
doaj +1 more source
Enhanced Variational Image Dehazing [PDF]
SIAM Journal on Imaging Sciences, 2015 Images obtained under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze layer and recovering vivid colors out of a single image remains a challenging task, since the degradation is depth-dependent and ...
Adrian Galdran +3 more
openaire +2 more sources
Visual Image Dehazing Using Polarimetric Atmospheric Light Estimation
Applied Sciences, 2023 The precision in evaluating global ambient light profoundly impacts the performance of image-dehazing technologies. Many approaches for quantifying atmospheric light intensity suffer from inaccuracies, leading to a decrease in dehazing effectiveness.
Shuai Liu +5 more
doaj +1 more source