Results 31 to 40 of about 13,238,104 (357)

An enhancement method for low light images in coal mines

open access: yesGong-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

Integrating deep learning and traditional image enhancement techniques for underwater image enhancement

open access: yesIET 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
doaj   +1 more source

Lighting the darkness in the sea: A deep learning model for underwater image enhancement

open access: yesFrontiers 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
doaj   +1 more source

A Survey of Deep Learning-Based Low-Light Image Enhancement

open access: yesItalian National Conference on Sensors, 2023
Images captured under poor lighting conditions often suffer from low brightness, low contrast, color distortion, and noise. The function of low-light image enhancement is to improve the visual effect of such images for subsequent processing.
Zhen Tian   +6 more
semanticscholar   +1 more source

Generative Diffusion Prior for Unified Image Restoration and Enhancement [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training, which restricts their adaptation to complex real applications.
Ben Fei   +7 more
semanticscholar   +1 more source

Fast Underwater Image Enhancement for Improved Visual Perception [PDF]

open access: yesIEEE 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

A Novel Underwater Image Enhancement Using Optimal Composite Backbone Network

open access: yesBiomimetics, 2023
Continuous exploration of the ocean has made underwater image processing an important research field, and plenty of CNN (convolutional neural network)-based underwater image enhancement methods have emerged over time.
Yuhan Chen   +6 more
doaj   +1 more source

Half Wavelet Attention on M-Net+ for Low-Light Image Enhancement [PDF]

open access: yesInternational 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

Hue-Correction Scheme Based on Constant-Hue Plane for Deep-Learning-Based Color-Image Enhancement

open access: yesIEEE Access, 2020
In this paper, we propose a novel hue-correction scheme based on the constant-hue plane in the RGB color space for deep-learning-based color-image enhancement.
Yuma Kinoshita, Hitoshi Kiya
doaj   +1 more source

High-Brightness Image Enhancement Algorithm

open access: yesApplied Sciences, 2021
In this paper, we introduce a tone mapping algorithm for processing high-brightness video images. This method can maximally recover the information of high-brightness areas and preserve detailed information.
Yifei Wei   +3 more
doaj   +1 more source

Home - About - Disclaimer - Privacy