Results 11 to 20 of about 67,648 (245)

Cformer: An underwater image enhancement hybrid network combining convolution and transformer

open access: yesIET Image Processing, 2023
Underwater images are the most direct and effective ways to obtain underwater information. However, underwater images typically suffer from contrast reduction and colour distortion due to the absorption and scattering of water by light, which seriously ...
Ruhui Deng, Lei Zhao, Heng Li, Hui Liu
doaj   +1 more source

Multi-Scale Ensemble Learning for Thermal Image Enhancement

open access: yesApplied Sciences, 2021
In this study, we propose a multi-scale ensemble learning method for thermal image enhancement in different image scale conditions based on convolutional neural networks.
Yuseok Ban, Kyungjae Lee
doaj   +1 more source

TXI: Texture and Color Enhancement Imaging for Endoscopic Image Enhancement [PDF]

open access: yesJournal of Healthcare Engineering, 2021
Recognition of lesions with subtle morphological and/or color changes during white light imaging (WLI) endoscopy remains a challenge. Often the endoscopic image suffers from nonuniform illumination across the image due to curvature in the lumen and the direction of the illumination light of the endoscope.
openaire   +2 more sources

Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review

open access: yesPhotonics, 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
doaj   +1 more source

Enhanced Variational Image Dehazing [PDF]

open access: yesSIAM 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
openaire   +4 more sources

Low‐light image enhancement for infrared and visible image fusion

open access: yesIET 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
doaj   +1 more source

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

An investigation in satellite images based on image enhancement techniques

open access: yesEuropean Journal of Remote Sensing, 2020
In Satellite Images, enhancement plays a dynamic research topic in image processing. The aim of enhancement is to process an image so that the result is more suitable than original image for specific remote sensing application.
R. Ablin, C.Helen Sulochana, G. Prabin
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

Burst Image Restoration and Enhancement

open access: yes2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Accepted at CVPR 2022 [Oral]
Dudhane, Akshay   +4 more
openaire   +3 more sources

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