Results 161 to 170 of about 13,588,714 (305)
Overcoming Registration Uncertainty in Image Super-Resolution: Maximize or Marginalize?
EURASIP Journal on Advances in Signal Processing, 2007 In multiple-image super-resolution, a high-resolution image is estimated from a number of lower-resolution images. This usually involves computing the parameters of a generative imaging model (such as geometric and photometric registration, and blur ...
Pickup Lyndsey C +3 more
doaj
Immunosuppressive Drug Use in Limited Systemic Sclerosis: An International Survey
Arthritis Care &Research, EarlyView.Objective Current guidelines recommend immunosuppressive treatment for diffuse cutaneous systemic sclerosis but are less clear on their use in limited cutaneous systemic sclerosis (lcSSc) in the absence of internal organ complications. We conducted an international survey to understand current immunosuppressive drug prescribing patterns in lcSSc ...
Sabrina Hoa +3 more
wiley +1 more source
Image super-resolution via saliency sparse representation
, 2014 The paper proposes a new approach to single-image super resolution (SR), which is based on sparse representation. Previous researchers just focus on the global intensive patch, without local intensive patch.
Zhang, Xue Jun, Hu, Bing Liang
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Image Super-Resolution with Adversarial Learning [PDF]
, 2019 Single-image super-resolution refers to the problem of generating a high-resolution image from a low-resolution one. In this work we address to the problem of single-image super-resolution of degraded low-resolution images.
Boem, Davide
core
Caregiver Perspectives on the Burden of Disease and Treatment in Uncontrolled Gout
Arthritis Care &Research, EarlyView.Objective Uncontrolled gout (UG) refers to persistently elevated serum urate (SU) levels >6 mg/dL and ongoing gout symptoms despite use of urate‐lowering therapy (ULT). The objective of this study was to evaluate the burden associated with informal caregiving for individuals with UG.
Angelo Gaffo +6 more
wiley +1 more source
Stereo digital image correlation using binocular super-resolution
The spatial resolution and measurement accuracy of digital image correlation (DIC) method are limited by the camera resolution. It is determined by the hardware cost.
Zixiang Tong (17900846) +5 more
core +1 more source
Arthritis Care &Research, EarlyView.Objective The aim of this study was to test the hypothesis that multijoint osteoarthritis would modify the relation between time and frailty progression, in which more affected joints would lead to larger declines over six years compared to those without osteoarthritis using data from the Canadian Longitudinal Study on Aging.
Carson Halliwell +2 more
wiley +1 more source
Abstract Image Interpolation by Super-Resolution
, 2008 Term “super-resolution ” is typically used for a high-resolution image produced from several low-resolution noisy observations. In this paper, we consider the problem of high-quality interpolation of a single noise-free image.
Andrey Nasonov +2 more
core
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Arthritis Care &Research, Accepted Article.Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Super Resolution and Deblurring of Hyperpanoramic Images Using Neural Networks
reservedIn this thesis we studied the application of Deep Neural Networks to the problem of Super Resolution of images, which consists in enhancing their spatial resolution and perceptual quality; we focused on images captured by a hyperpanoramic lens ...
BARBIERATO, MARCO
core