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EAFormer: Edge-Aware Guided Adaptive Frequency-Navigator Network for Image Restoration [PDF]
SensorsAlthough many deep learning-based image restoration networks have emerged in various image restoration tasks, most can only perform well in a specific type of restoration task and still face challenges in the general performance of image restoration. The
Wenjie Xie +3 more
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Zero-Shot Sand-Dust Image Restoration [PDF]
SensorsNatural sand-dust weather is complicated, and synthetic sand-dust datasets cannot accurately reflect the properties of real sand-dust images. Sand-dust image enhancement and restoration methods that are based on enhancement, on priors, or on data-driven ...
Fei Shi, Zhenhong Jia, Yanyun Zhou
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Vision Transformers in Image Restoration: A Survey [PDF]
Sensors, 2023 The Vision Transformer (ViT) architecture has been remarkably successful in image restoration. For a while, Convolutional Neural Networks (CNN) predominated in most computer vision tasks.
Anas M. Ali +5 more
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Image restoration model for microscopic defocused images based on blurring kernel guidance [PDF]
HeliyonDefocus blurring imaging seriously affects the observation accuracy and application range of optical microscopes, and the blurring kernel function is a key parameter for high-resolution image restoration.
Yangjie Wei, Qifei Li, Weihan Hou
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An enhanced image restoration using deep learning and transformer based contextual optimization algorithm [PDF]
Scientific ReportsImage processing and restoration are important in computer vision, particularly for images that are damaged by noise, blur, and other issues. Traditional methods often have a hard time with problems like periodic noise and do not effectively combine ...
A. Senthil Anandhi, M. Jaiganesh
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BAYESIAN IMAGE RESTORATION, USING CONFIGURATIONS [PDF]
Image Analysis and Stereology, 2011 In this paper, we develop a Bayesian procedure for removing noise from images that can be viewed as noisy realisations of random sets in the plane. The procedure utilises recent advances in configuration theory for noise free random sets, where the ...
Thordis Linda Thorarinsdottir
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From shallow sea to deep sea: research progress in underwater image restoration
Frontiers in Marine Science, 2023 Underwater images play a crucial role in various fields, including oceanographic engineering, marine exploitation, and marine environmental protection.
Wei Song +5 more
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Underwater Optical Image Restoration Method for Natural/Artificial Light
Journal of Marine Science and Engineering, 2023 This paper investigates the underwater optical image restoration method under the background of underwater target detection based on optical vision in AUVs.
Tianchi Zhang +3 more
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Heritage Science, 2022 In recent years, 3D printing technologies have had a considerable impact on the field of conservation and restoration of cultural heritage. Professionals in this sector have been provided with exploratory tools for documenting, analyzing, intervening ...
Emanuel Sterp Moga +2 more
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A Deconvolutional Deblurring Algorithm Based on Short- and Long-Exposure Images
Sensors, 2022 An iterative image restoration algorithm, directed at the image deblurring problem and based on the concept of long- and short-exposure deblurring, was proposed under the image deconvolution framework by investigating the imaging principle and existing ...
Yang Bai, Zheng Tan, Qunbo Lv, Min Huang
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