Results 11 to 20 of about 67,648 (245)
Cformer: An underwater image enhancement hybrid network combining convolution and transformer
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
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Multi-Scale Ensemble Learning for Thermal Image Enhancement
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
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TXI: Texture and Color Enhancement Imaging for Endoscopic Image Enhancement [PDF]
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.
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Low-Illumination Image Enhancement Based on Deep Learning Techniques: A Brief Review
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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Enhanced Variational Image Dehazing [PDF]
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‐light image enhancement for infrared and visible image fusion
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
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
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An investigation in satellite images based on image enhancement techniques
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
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Lighting the darkness in the sea: A deep learning model for underwater image enhancement
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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Burst Image Restoration and Enhancement
Accepted at CVPR 2022 [Oral]
Dudhane, Akshay+4 more
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