Results 41 to 50 of about 13,900 (206)
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 +3 more
core +1 more source
Blind image deblurring method based on
Journal of Measurement Science and Instrumentation, 2023 Aiming at the problem of ringing artifacts existing in the edge of image in traditional blind image deblurring methods, l1/l2 regularization-based blind image deblurring method is proposed. The latent image is constrained by l1/l2 regularization, and the
CAO Shengfang, HU Hongping, WANG Wenke
doaj
BM3D Frames and Variational Image Deblurring
, 2011 A family of the Block Matching 3-D (BM3D) algorithms for various imaging problems has been recently proposed within the framework of nonlocal patch-wise image modeling [1], [2].
Danielyan, Aram +2 more
core +1 more source
Simultaneous Stereo Video Deblurring and Scene Flow Estimation
, 2017 Videos for outdoor scene often show unpleasant blur effects due to the large relative motion between the camera and the dynamic objects and large depth variations. Existing works typically focus monocular video deblurring.
Dai, Yuchao +3 more
core +1 more source
Multitask Learning Mechanism for Remote Sensing Image Motion Deblurring
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 As a fundamental preprocessing technique, remote sensing image motion deblurring is important for visual understanding tasks. Most conventional approaches formulate the image motion deblurring task as a kernel estimation. Because the kernel estimation is
Jie Fang +3 more
doaj +1 more source
Digital Deblurring of CMB Maps II: Asymmetric Point Spread Function [PDF]
, 2003 In this second paper in a series dedicated to developing efficient numerical techniques for the deblurring Cosmic Microwave Background (CMB) maps, we consider the case of asymmetric point spread functions (PSF).
Baccigalupi +14 more
core +2 more sources
Image deblurring method driven by double layer convolution neural network denoising module
Nantong Daxue xuebao. Ziran kexue ban, 2022 To solve this problem for inflexible of noise levels for deep convolution neural network for image denoising, an image deblurring method driven by a double deep convolution neural network for image denoising is proposed.The learning capability of ...
WU Jingjing; MA Jingning; ZHU Yonggui
doaj +1 more source
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 +6 more
wiley +1 more source
Light Field Blind Motion Deblurring
, 2017 We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion and present both theoretical and practical contributions.
Ng, Ren +2 more
core +1 more source
An image defocus deblurring method based on gradient difference of boundary neighborhood
Virtual Reality & Intelligent Hardware, 2023 Background: For static scenes with multiple depth layers, the existing defocused image deblurring methods have the problems of edge ringing artifacts or insufficient deblurring degree due to inaccurate estimation of blur amount, In addition, the prior ...
Junjie TAO +6 more
doaj +1 more source