Results 1 to 10 of about 505,001 (337)

EAFormer: Edge-Aware Guided Adaptive Frequency-Navigator Network for Image Restoration [PDF]

Sensors
Although 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, Dong Zhou, Wenshuai Zhang, Wenrui Wang   +3 more
doaj   +2 more sources

Zero-Shot Sand-Dust Image Restoration [PDF]

Sensors
Natural 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
doaj   +2 more sources

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, Bilel Benjdira, Anis Koubaa, Walid El-Shafai, Zahid Khan, Wadii Boulila   +5 more
doaj   +2 more sources

Naive Mean Field Approximation for Image Restoration [PDF]

, 2002
We attempt image restoration in the framework of the Baysian inference. Recently, it has been shown that under a certain criterion the MAP (Maximum A Posterior) estimate, which corresponds to the minimization of energy, can be outperformed by the MPM ...
Hayaru Shouno, Koji Wada, Masato Okada
openalex   +3 more sources

Image restoration model for microscopic defocused images based on blurring kernel guidance [PDF]

Heliyon
Defocus 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
doaj   +2 more sources

Image restoration using HOS and the Radon transform [PDF]

, 2002
The authors propose the use of higher-order statistics (HOS) to study the problem of image restoration. They consider images degraded by linear or zero phase blurring point spread functions (PSF) and additive Gaussian noise.
Elisa Sayrol, C.L. Nikias, T. Gasull
openalex   +3 more sources

An enhanced image restoration using deep learning and transformer based contextual optimization algorithm [PDF]

Scientific Reports
Image 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
doaj   +2 more sources

Double phase image restoration [PDF]

Journal of Mathematical Analysis and Applications, 2021
J. Math. Anal.
Petteri Harjulehto, Peter Hästö, Peter Hästö   +2 more
openaire   +5 more sources

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, Yaling Liu, Dongmei Huang, Bing Zhang, Zhihao Shen, Huifang Xu   +5 more
doaj   +1 more source

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, Qian Li, Yusong Li, Xing Liu   +3 more
doaj   +1 more source