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Enhanced Variational Image Dehazing [PDF]
SIAM Journal on Imaging Sciences, 2015 Images obtained under adverse weather conditions, such as haze or fog, typically/nexhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling/nthe image structure under the haze layer and recovering vivid colors out of a single image/nremains a challenging task, since the degradation is depth-dependent and
Adrian Galdran +3 more
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Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review
Photonics, 2023 As a critical preprocessing technique, low-illumination image enhancement has a wide range of practical applications. It aims to improve the visual perception of a given image captured without sufficient illumination.
Hao Tang +5 more
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Low‐light image enhancement for infrared and visible image fusion
IET Image Processing, 2023 Infrared and visible image fusion (IVIF) is an essential branch of image fusion, and enhancing the visible image of IVIF can significantly improve the fusion performance. However, many existing low‐light enhancement methods are unsuitable for the visible
Yiqiao Zhou +5 more
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An enhancement method for low light images in coal mines
Gong-kuang zidonghua, 2023 Underground lighting in coal mines is limited. There is a large amount of dust and mist, resulting in low contrast, uneven lighting, weak detail information, and a large amount of noise in the collected images.
KONG Erwei +3 more
doaj +1 more source
IET Image Processing, 2022 Underwater images usually suffer from colour distortion, blur, and low contrast, which hinder the subsequent processing of underwater information. To address these problems, this paper proposes a novel approach for single underwater images enhancement by
Zhenghao Shi +3 more
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
Frontiers in Marine Science, 2022 Currently, optical imaging cameras are widely used on underwater vehicles to obtain images and support numerous marine exploration tasks. Many underwater image enhancement algorithms have been proposed in the past few years to suppress backscattering ...
Yaofeng Xie +5 more
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Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement [PDF]
International Conference on Information Photonics, 2022 Low-Light Image Enhancement is a computer vision task which intensifies the dark images to appropriate brightness. It can also be seen as an illposed problem in image restoration domain.
Chi-Mao Fan +2 more
semanticscholar +1 more source
Fast Underwater Image Enhancement for Improved Visual Perception [PDF]
IEEE Robotics and Automation Letters, 2019 In this letter, we present a conditional generative adversarial network-based model for real-time underwater image enhancement. To supervise the adversarial training, we formulate an objective function that evaluates the perceptual image quality based on
M. Islam, Youya Xia, Junaed Sattar
semanticscholar +1 more source
UIF: An Objective Quality Assessment for Underwater Image Enhancement [PDF]
IEEE Transactions on Image Processing, 2022 Due to complex and volatile lighting environment, underwater imaging can be readily impaired by light scattering, warping, and noises. To improve the visual quality, Underwater Image Enhancement (UIE) techniques have been widely studied.
Yannan Zheng +4 more
semanticscholar +1 more source
Burst Image Restoration and Enhancement
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Accepted at CVPR 2022 [Oral]
Dudhane, Akshay +4 more
openaire +3 more sources