Results 11 to 20 of about 16,734,778 (159)
Robust Single-Image Dehazing [PDF]
Electronics, 2021 This paper proposes a new single-image dehazing method, which is an important preprocessing step in vision applications to overcome the limitations of the conventional dark channel prior. The dark channel prior has a tendency to underestimate transmissions of bright regions or objects that can generate color distortions during the process of dehazing ...
Changwon Kim
openaire +2 more sources
A Bayesian Framework for Single Image Dehazing considering Noise
The Scientific World Journal, 2014 The single image dehazing algorithms in existence can only satisfy the demand for dehazing efficiency, not for denoising. In order to solve the problem, a Bayesian framework for single image dehazing considering noise is proposed.
Dong Nan +4 more
doaj +2 more sources
Autonomous Single-Image Dehazing: Enhancing Local Texture with Haze Density-Aware Image Blending
Remote SensingSingle-image dehazing is an ill-posed problem that has attracted a myriad of research efforts. However, virtually all methods proposed thus far assume that input images are already affected by haze. Little effort has been spent on autonomous single-image
Siyeon Han +3 more
doaj +2 more sources
A Nighttime and Daytime Single-Image Dehazing Method
Applied Sciences, 2022 In this study, the requirements for image dehazing methods have been put forward, such as a wider range of scenarios in which the methods can be used, faster processing speeds and higher image quality.
Yunqing Tang, Yin Xiang, Guangfeng Chen
doaj +2 more sources
Haze-Aware Attention Network for Single-Image Dehazing [PDF]
Applied SciencesSingle-image dehazing is a pivotal challenge in computer vision that seeks to remove haze from images and restore clean background details. Recognizing the limitations of traditional physical model-based methods and the inefficiencies of current ...
Lihan Tong +4 more
doaj +4 more sources
A Variational Framework for Single Image Dehazing [PDF]
, 2015 Images captured 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 struc- ture 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 +3 more sources
Deep Retinex Network for Single Image Dehazing
, 2021 In this paper, we propose a retinex-based decomposition model for a hazy image and a novel end-to-end image dehazing network. In the model, the illumination of the hazy image is decomposed into natural illumination for the haze-free image and residual ...
Tian JD(田建东) +4 more
core +2 more sources
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 GAN-Based Input-Size Flexibility Model for Single Image Dehazing [PDF]
, 2022 Image-to-image translation based on generative adversarial network (GAN) has achieved state-of-the-art performance in various image restoration applications.
Zhang, Yue +3 more
core +1 more source
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
doaj +1 more source