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Image reconstruction in optical interferometry [PDF]
IEEE Signal Processing Magazine, 2010 Comment: accepted for publication in IEEE Signal Processing ...
Thiébaut, Eric +1 more
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Sparse Image Reconstruction for Molecular Imaging [PDF]
IEEE Transactions on Image Processing, 2009 12 pages, 8 ...
Raviv Raich +2 more
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Review of Super-Resolution Image Reconstruction Algorithms [PDF]
Jisuanji kexue yu tansuo, 2022 In human visual perception system, high-resolution (HR) image is an important medium to clearly express its spatial structure, detailed features, edge texture and other information, and it has a very wide range of practical value in medicine, criminal ...
ZHONG Mengyuan, JIANG Lin
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Review of Image Super-resolution Reconstruction Algorithms Based on Deep Learning [PDF]
Jisuanji kexue yu tansuo, 2022 The essence of image super-resolution reconstruction technology is to break through the limitation of hardware conditions, and reconstruct a high-resolution image from a low-resolution image which contains less infor-mation through the image super ...
YANG Caidong, LI Chengyang, LI Zhongbo, XIE Yongqiang, SUN Fangwei, QI Jin
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Imaging of the Reconstructed Breast
Diagnostics, 2023 The incidence of breast cancer and therefore need for breast reconstruction is expected to increase. The many reconstructive options available and the changing aspects of the field make this a complex area of plastic surgery, requiring knowledge and expertise. Two major types of breast reconstruction can be distinguished: Breast Implants and Autologous
Theodora Kanavou +4 more
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Nuclear TV Multi-channel Image Reconstruction Algorithm Based on Chambolle-pock Framework
CT Lilun yu yingyong yanjiu, 2022 Total variation (TV) minimum algorithm is an image reconstruction algorithm based on compressed sensing theory, which can realize the reconstruction of images with high accuracy from sparse projection or noisy projection data and has been widely used in ...
Jingyi MA, Zhiwei QIAO
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Image reconstruction through metamorphosis [PDF]
Inverse Problems, 2020 This article adapts the framework of metamorphosis to solve inverse problems in imaging that includes joint reconstruction and image registration. The deformations in question have two components, one that is a geometric deformation moving intensities and the other a deformation of intensity values itself, which, e.g., allows for appearance of a new ...
Barbara Gris, Chong Chen, Ozan Öktem
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Journal of Electrical and Computer Engineering, 2022 Due to the large noise and many discrete points of the image in the traditional image reconstruction process, the reconstruction quality of the image deviates greatly from the actual target.
Jing He
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Journal of Reconstructive Microsurgery Open, 2023 Objective We report the case of a 40-year-old man with an inveterate ulnar nerve neuroma following a laceration injury of his left wrist twenty-three years ago.
Laura A. Hruby +6 more
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LOFAR sparse image reconstruction [PDF]
Astronomy & Astrophysics, 2015 Context. The LOw Frequency ARray (LOFAR) radio telescope is a giant digital phased array interferometer with multiple antennas distributed in Europe. It provides discrete sets of Fourier components of the sky brightness. Recovering the original brightness distribution with aperture synthesis forms an inverse problem that can be solved by various ...
A. W. Gunst +89 more
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