Results 21 to 30 of about 516,809 (278)
Vision Transformers in Image Restoration: A Survey
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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Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor
Sensors, 2015 This paper presents a fast adaptive image restoration method for removing spatially varying out-of-focus blur of a general imaging sensor. After estimating the parameters of space-variant point-spread-function (PSF) using the derivative in each uniformly
Hejin Cheong +4 more
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Gray Extreme Weighted Sum Image Ringing Evaluation Algorithm
Journal of Harbin University of Science and Technology, 2019 In the process of image blind restoration, the estimation of the fuzzy kernel usually produces errors which lead to image ringing The existing algorithm cannot effectively evaluate the severity of ringing To solve this problem, a method for evaluating ...
KE Ming +4 more
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An Objective Evaluation Method for Image Restoration
Journal of Electrical and Computer Engineering, 2010 Accurate image restoration is of paramount importance for low-level vision, computer vision, and various other fields. Numerous complex restoration algorithms have been stated in the literature.
A. Lakshmi, Subrata Rakshit
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Heritage Science, 2022 Three-dimensional models of anatomy in wax preserved in university museums are rare artifacts of extraordinary technical complexity. In recent years, interest in them has increased among scholars who consider them primary sources of heritage value to ...
Emanuel Sterp Moga +3 more
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Non-blind Image Restoration Based on Convolutional Neural Network
, 2018 Blind image restoration processors based on convolutional neural network (CNN) are intensively researched because of their high performance. However, they are too sensitive to the perturbation of the degradation model.
Okutomi, Masatoshi +2 more
core +1 more source
Discriminative Transfer Learning for General Image Restoration
, 2017 Recently, several discriminative learning approaches have been proposed for effective image restoration, achieving convincing trade-off between image quality and computational efficiency.
Heide, Felix +4 more
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Inexact Bregman iteration with an application to Poisson data reconstruction [PDF]
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Benfenati, Alessandro, Ruggiero, Valeria
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Variational Deep Image Restoration
IEEE Transactions on Image Processing, 2022 This paper presents a new variational inference framework for image restoration and a convolutional neural network (CNN) structure that can solve the restoration problems described by the proposed framework. Earlier CNN-based image restoration methods primarily focused on network architecture design or training strategy with non-blind scenarios where ...
Jae Woong Soh, Nam Ik Cho
openaire +3 more sources
Photographic Image Restoration [PDF]
, 1991 Deblurring capabilities would significantly improve the Flight Science Support Office's ability to monitor the effects of lift-off on the shuttle and landing on the orbiter.
Hite, Gerald E.
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