An experiment-based review of low-light image enhancement methods
W Wang, X Wu, X Yuan, Z Gao - Ieee Access, 2020 - ieeexplore.ieee.org
Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …
Semantic foggy scene understanding with synthetic data
This work addresses the problem of semantic foggy scene understanding (SFSU). Although
extensive research has been performed on image dehazing and on semantic scene …
extensive research has been performed on image dehazing and on semantic scene …
A comprehensive review on analysis and implementation of recent image dehazing methods
Images acquired in poor weather conditions (haze, fog, smog, mist, etc.) are often severely
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
degraded. In the atmosphere, there exists two types of particles: dry particles (dust, smoke …
IDE: Image dehazing and exposure using an enhanced atmospheric scattering model
Atmospheric scattering model (ASM) is one of the most widely used model to describe the
imaging processing of hazy images. However, we found that ASM has an intrinsic limitation …
imaging processing of hazy images. However, we found that ASM has an intrinsic limitation …
Light-DehazeNet: a novel lightweight CNN architecture for single image dehazing
Due to the rapid development of artificial intelligence technology, industrial sectors are
revolutionizing in automation, reliability, and robustness, thereby significantly increasing …
revolutionizing in automation, reliability, and robustness, thereby significantly increasing …
Simple low-light image enhancement based on Weber–Fechner law in logarithmic space
W Wang, Z Chen, X Yuan - Signal Processing: Image Communication, 2022 - Elsevier
In an environment with poor illumination, such as indoor, night, and overcast conditions, the
image information can be seriously lost, which affects the visual effect and degrades the …
image information can be seriously lost, which affects the visual effect and degrades the …
From synthetic to real: Image dehazing collaborating with unlabeled real data
Single image dehazing is a challenging task, for which the domain shift between synthetic
training data and real-world testing images usually leads to degradation of existing methods …
training data and real-world testing images usually leads to degradation of existing methods …
Low-light image enhancement based on virtual exposure
W Wang, D Yan, X Wu, W He, Z Chen, X Yuan… - Signal Processing: Image …, 2023 - Elsevier
Under poor illumination, the image information captured by a camera is partially lost, which
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
seriously affects the visual perception of the human. Inspired by the idea that the fusion of …
Evolving fusion-based visibility restoration model for hazy remote sensing images using dynamic differential evolution
Remote sensing images taken during poor environmental conditions are degraded by the
scattering of atmospheric particles, which affects the performance of many imaging systems …
scattering of atmospheric particles, which affects the performance of many imaging systems …
Multi-verse optimizer with rosenbrock and diffusion mechanisms for multilevel threshold image segmentation from COVID-19 chest X-ray images
Y Han, W Chen, AA Heidari, H Chen - Journal of Bionic Engineering, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19) is the most severe epidemic that is
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …
prevalent all over the world. How quickly and accurately identifying COVID-19 is of great …