Results 91 to 100 of about 11,754,470 (203)
Deeplearning method for single image dehazing based on HSI colour space
Journal of Measurement Science and Instrumentation, 2021 The traditional single image dehazing algorithm is susceptible to the prior knowledge of hazy image and colour distortion.A new method of deep learning multi-scale convolution neural network based on HSI colour space for single image dehazing is proposed
CHEN Yong, TAO Meifeng, GUO Hongguang
doaj
IEEE Access, 2020 An end-to-end image dehazing method based on convolution neural network is presented to solve the problem in which Unmanned Aerial Vehicle (UAV) high-resolution remote sensing images have reduced image sharpness due to haze.
Yufeng Li, Jingbo Ren, Yufeng Huang
doaj +1 more source
IET Image Processing, Volume 20, Issue 1, January/December 2026.Sand‐dust degradation significantly reduces visibility, colour fidelity, and structural detail in outdoor imaging systems. This paper proposes TradMS‐ResGAN, a sequential multi‐stage restoration framework that combines a physically interpretable enhancement pipeline with a lightweight multi‐scale residual GAN for refined texture reconstruction and ...
Muhammad Masood +2 more
wiley +1 more source
Efficient Dehazing with Recursive Gated Convolution in U-Net: A Novel Approach for Image Dehazing
, 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.
Jia Jia +3 more
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UDAPA: A Lightweight Adapter for Robust Underwater Image Enhancement via Input‐Side Alignment
IET Image Processing, Volume 20, Issue 1, January/December 2026.We propose UDAPA, a lightweight adapter framework for robust underwater image enhancement via input‐side alignment. Rather than modifying the pre‐trained backbone, UDAPA adapts degraded inputs toward a feature distribution that is more compatible with the frozen pre‐trained model.
Hui Zhang, Zhaolong Gao, Jinjiang Li
wiley +1 more source
IHDCP: Single Image Dehazing Using Inverted Haze Density Correction Prior
Image dehazing, a crucial task in low-level vision, supports numerous practical applications, such as autonomous driving, remote sensing, and surveillance.
Li, Tao +5 more
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An improved image dehazing and enhancing method using dark channel prior
, 2015 In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric scattering. Images taken in this weather suffer from serious degradation.
Luo HB(罗海波) +3 more
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DUNet: a novel dehazing model based on outdoor images
Frontiers in Plant ScienceImage dehazing technology is widely utilized in outdoor environments, especially in precision agriculture, where it enhances image quality and monitoring accuracy.
Wei Zhao +10 more
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Perceptual evaluation of single image dehazing algorithms
, 2015 Images captured in outdoor scenes often suffer from poor visibility and color shift due to the presence of haze. Although many algo-rithms have been proposed to remove the haze, not much effort has been made on quality assessment of dehazed images.
Zhou Wang, Wentao Liu, Kede Ma
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Study on Fast Image Dehazing Based on Discriminant Filtering and Bilateral Filtering [PDF]
, 2016 In order to improve the running efficiency of image dehazing algorithm and solve the color distortion problem in the bright area after dehazing, this paper puts forward a Fast Image Dehazing Algorithm based on Twice Filtering(TBFIDA).It gets the ambient ...
LIU Wanjun,ZHAO Qingguo
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