Results 51 to 60 of about 15,547 (189)

Learning Blind Motion Deblurring

, 2017
As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime. However, taking a quick shot frequently yields a blurry result due to unwanted camera shake during recording ...
Hirsch, Michael, Lensch, Hendrik P. A., Schölkopf, Bernhard, Wieschollek, Patrick   +3 more
core   +1 more source

Ultrafast Blood T1 Measurement Using Golden Angle Rotated Spiral k‐t Sparse Parallel Imaging (GASSP): Evaluations in Both Pre‐ and Post‐Contrast Conditions

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Blood T1 is a key parameter for hemodynamic quantification in both non‐contrast‐ and contrast‐enhanced imaging. Individual vessel T1 has been measured using a modified Look–Locker scheme with multi‐shot EPI or FLASH in high spatial resolution, requiring ∼1 min.
Zechen Xu, Feng Xu, Qin Qin, Dan Zhu
wiley   +1 more source

Deblurring Images [PDF]

Microscopy Today, 1998
Abstract If you are an optical microscopist, chances are you have sometimes wished for a way to increase the depth of focus of your images. In this article I describe a method that does this using a simple combination of functions built into most image processing software - so it will not cost you very much to try, The method, however ...
openaire   +1 more source

Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity

, 2010
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP-EM algorithm. A dual mathematical interpretation of the proposed framework
Mallat, Stéphane, Sapiro, Guillermo, Yu, Guoshen   +2 more
core   +3 more sources

Simultaneous Assessment of Skeletal Muscle Energetics and Blood Flow During Dynamic Exercise by Interleaved 31P‐MRS/1H‐MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To simultaneously measure skeletal muscle energetics and blood flow (BF) before, during, and after dynamic plantar flexion exercise (PFE). Methods Non‐localized pulse‐acquire phosphorus‐31 magnetic resonance spectroscopy (31P MRS) and phase contrast flow magnetic resonance imaging (1H MRI) using golden‐angle rotated spiral readouts ...
T. Jake Samuel, Sandeep K. Ganji, Joseph R. Goldenberg, Sabra C. Lewsey, Allison G. Hays, Robert G. Weiss, Michael Schär   +6 more
wiley   +1 more source

SAM-DEBLUR: Let Segment Anything Boost Image Deblurring

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Image deblurring is a critical task in the field of image restoration, aiming to eliminate blurring artifacts. However, the challenge of addressing non-uniform blurring leads to an ill-posed problem, which limits the generalization performance of existing deblurring models.
Li, Siwei, Liu, Mingxuan, Zhang, Yating, Chen, Shu, Li, Haoxiang, Dou, Zifei, Chen, Hong   +6 more
openaire   +2 more sources

Deep Deconvolution of Object Information Modulated by a Refractive Lens Using Lucy-Richardson-Rosen Algorithm

Photonics, 2022
A refractive lens is one of the simplest, most cost-effective and easily available imaging elements. Given a spatially incoherent illumination, a refractive lens can faithfully map every object point to an image point in the sensor plane, when the object
P. A. Praveen, Francis Gracy Arockiaraj, Shivasubramanian Gopinath, Daniel Smith, Tauno Kahro, Sandhra-Mirella Valdma, Andrei Bleahu, Soon Hock Ng, Andra Naresh Kumar Reddy, Tomas Katkus, Aravind Simon John Francis Rajeswary, Rashid A. Ganeev, Siim Pikker, Kaupo Kukli, Aile Tamm, Saulius Juodkazis, Vijayakumar Anand   +16 more
doaj   +1 more source

Blind Image Deblurring via Reweighted Graph Total Variation

, 2017
Blind image deblurring, i.e., deblurring without knowledge of the blur kernel, is a highly ill-posed problem. The problem can be solved in two parts: i) estimate a blur kernel from the blurry image, and ii) given estimated blur kernel, de-convolve blurry
Bai, Yuanchao, Cheung, Gene, Gao, Wen, Liu, Xianming   +3 more
core   +1 more source

Advancing Quantitative Susceptibility Mapping With 2.5D Diffusion Models for Rapid Intracranial Hemorrhage Quantification

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop a generative diffusion model‐based approach for robust and efficient quantitative susceptibility mapping (QSM) reconstruction in intracranial hemorrhage (ICH), applicable to both standard gradient echo (GRE) and rapid echo planar imaging (EPI) acquisitions.
Zhuang Xiong, Yang Gao, Feng Liu, Derek Emery, Ken Butcher, Alan H. Wilman, Hongfu Sun   +6 more
wiley   +1 more source

Zero-shot realistic image deblurring with consistency model

Complex & Intelligent Systems
At present, diffusion-based image deblurring methods rely on paired blurry-clear datasets for training, and the types of blur causes in image synthesis cannot yet be determined with sufficient precision to model real-world scene blur datasets ...
Zhaohan Wang, Chengjun Chen, Chenggang Dai   +2 more
doaj   +1 more source