Results 21 to 30 of about 505,001 (337)
SSIM-based sparse image restoration
Journal of King Saud University: Computer and Information Sciences, 2022 In this paper, we provide a sparse image restoration algorithm with a SSIM-based objective function. The proposed technique is a modification to the SSIM-inspired OMP (iOMP) and, and it has two parallel sparse restoration paths.
A.N. Omara +3 more
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Application of the quantum spin glass theory to image restoration [PDF]
, 2000 Quantum fluctuation is introduced into the Markov random fields (MRF's) model for image restoration in the context of Bayesian approach. We investigate the dependence of the quantum fluctuation on the quality of BW image restoration by making use of ...
A.J. Bray +11 more
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Digital image processing of the Ghent altarpiece : supporting the painting's study and conservation treatment [PDF]
, 2015 In this article, we show progress in certain image processing techniques that can support the physical restoration of the painting, its art-historical analysis, or both.
Cornelis, Bruno +9 more
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Cross-Scale KNN Image Transformer for Image Restoration
IEEE Access, 2023 Numerous image restoration approaches have been proposed based on attention mechanism, achieving superior performance to convolutional neural networks (CNNs) based counterparts.
Hunsang Lee +3 more
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TEM image restoration from fast image streams.
PLoS ONE, 2021 Microscopy imaging experiments generate vast amounts of data, and there is a high demand for smart acquisition and analysis methods. This is especially true for transmission electron microscopy (TEM) where terabytes of data are produced if imaging a full
Håkan Wieslander +2 more
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Computers & Mathematics with Applications, 1990 AbstractRestoration of very noisy images typical of electron-beam diagnostics of microelectronics is considered. The conditions, under which the regularization method yields strongly consistent (with probability 1) estimates of image functions are investigated.
S.N. Dubonos +2 more
openaire +2 more sources
Studies of EGRET sources with a novel image restoration technique [PDF]
, 2007 We have developed an image restoration technique based on the Richardson-Lucy algorithm optimized for GLAST-LAT image analysis. Our algorithm is original since it utilizes the PSF (point spread function) that is calculated for each event.
Chiang, James +4 more
core +3 more sources
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
doaj +1 more source
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
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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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