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Cformer: An underwater image enhancement hybrid network combining convolution and transformer
IET 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
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Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image Enhancement [PDF]
Computer Vision and Pattern Recognition, 2020 Low-light image enhancement plays very important roles in low-level vision areas. Recent works have built a great deal of deep learning models to address this task.
Risheng Liu +4 more
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SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement With Multi-Scale Perception [PDF]
IEEE Transactions on Image Processing, 2022 Due to the wavelength-dependent light attenuation, refraction and scattering, underwater images usually suffer from color distortion and blurred details. However, due to the limited number of paired underwater images with undistorted images as reference,
Qi Qi +5 more
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Generative Diffusion Prior for Unified Image Restoration and Enhancement [PDF]
Computer 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
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TXI: Texture and Color Enhancement Imaging for Endoscopic Image Enhancement [PDF]
Journal 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.
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Image Enhancement Algorithm Based on GAN Neural Network
IEEE Access, 2022 Deep underwater color images have problems such as low brightness, poor contrast, and loss of local details. In order to effectively enhance low-quality underwater images, this paper proposes an enhancement method based on GAN (Generative Adversarial ...
Bo Xu, Dong Zhou, Weijing Li
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Multi-Scale Ensemble Learning for Thermal Image Enhancement
Applied 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
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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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An investigation in satellite images based on image enhancement techniques
European 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
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LIME: Low-Light Image Enhancement via Illumination Map Estimation
IEEE Transactions on Image Processing, 2017 When one captures images in low-light conditions, the images often suffer from low visibility. Besides degrading the visual aesthetics of images, this poor quality may also significantly degenerate the performance of many computer vision and multimedia ...
Xiaojie Guo, Yu Li, Haibin Ling
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