Results 61 to 70 of about 7,150,154 (369)
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.
core +1 more source
, 2010 As a powerful statistical image modeling technique, sparse representation has been successfully used in various image restoration applications. The success of sparse representation owes to the development of l1-norm optimization techniques, and the fact ...
Dong, Weisheng +3 more
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Focal Network for Image Restoration
IEEE International Conference on Computer Vision, 2023 Image restoration aims to reconstruct a sharp image from its degraded counterpart, which plays an important role in many fields. Recently, Transformer models have achieved promising performance on various image restoration tasks. However, their quadratic
Yuning Cui +3 more
semanticscholar +1 more source
Magnetic Resonance Image restoration [PDF]
Journal of Mathematical Imaging and Vision, 1995 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Garnier, Stephen J. +3 more
openaire +2 more sources
Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Image Restoration using Total Variation Regularized Deep Image Prior
, 2018 In the past decade, sparsity-driven regularization has led to significant improvements in image reconstruction. Traditional regularizers, such as total variation (TV), rely on analytical models of sparsity.
Kamilov, Ulugbek S. +3 more
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Image restoration using HOS and the Radon transform [PDF]
, 1993 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.
Gasull Llampallas, Antoni +2 more
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Image Restoration Using Deep Learning Based Image Completion
Jurnal Sisfokom, 2023 Digital images can experience various disturbances in acquisition and storage, one of which is a disturbance indicated by damage to certain areas of the image field and causes the loss of some of the information represented by the image.
Phie Chyan, Tri Saptadi
doaj +1 more source
Time after time – circadian clocks through the lens of oscillator theory
FEBS Letters, EarlyView.Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo +2 more
wiley +1 more source
An Iterative Shrinkage Approach to Total-Variation Image Restoration
, 2009 The problem of restoration of digital images from their degraded measurements plays a central role in a multitude of practically important applications.
Michailovich, Oleg
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