Results 41 to 50 of about 5,362 (169)
Multilevel Image Dehazing Algorithm Using Conditional Generative Adversarial Networks
IEEE Access, 2020 In recent years, the hazy weather in China occurs frequently, and image dehazing has gradually become a research hotspot. To improve the dehazing effect of the hazy images, this paper has proposed a multilevel image dehazing algorithm using conditional ...
Kailei Gan, Jieyu Zhao, Hao Chen
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, 2022 In this paper, we introduce a new computer vision task called nighttime dehaze-enhancement. This task aims to jointly perform dehazing and lightness enhancement. Our task fundamentally differs from nighttime dehazing -- our goal is to jointly dehaze and enhance scenes, while nighttime dehazing aims to dehaze scenes under a nighttime setting.
Baskar, Harshan +9 more
openaire +2 more sources
Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing
Journal of Imaging, 2023 Image dehazing, a fundamental problem in computer vision, involves the recovery of clear visual cues from images marred by haze. Over recent years, deploying deep learning paradigms has spurred significant strides in image dehazing tasks.
Zhibo Wang +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
International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature ...
Karrar Hameed Abdulkareem +6 more
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, 2018 Modeling statistical regularity plays an essential role in ill-posed image processing problems. Recently, deep learning based methods have been presented to implicitly learn statistical representation of pixel distributions in natural images and leverage
Barnard Kobus +6 more
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Learned Perceptual Image Enhancement
, 2017 Learning a typical image enhancement pipeline involves minimization of a loss function between enhanced and reference images. While L1 and L2 losses are perhaps the most widely used functions for this purpose, they do not necessarily lead to perceptually
Milanfar, Peyman, Talebi, Hossein
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Large‐scale characterization of horizontal forest structure from remote sensing optical images
Remote Sensing in Ecology and Conservation, EarlyView.Sub‐meter resolution remote sensing data and tree crown segmentation techniques hold promise in offering detailed information that can support the characterization of forest structure from a horizontal perspective, offering new insights in the tree crown structure at scale.
Xin Xu +12 more
wiley +1 more source
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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Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley +1 more source