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Sparse image reconstruction for molecular imaging [PDF]
IEEE Transactions on Image Processing, 2008 The application that motivates this paper is molecular imaging at the atomic level. When discretized at sub-atomic distances, the volume is inherently sparse.
Hero III, Alfred O. +2 more
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Algebraic methods and computational strategies for pseudoinverse-based MR image reconstruction (Pinv-Recon). [PDF]
Sci RepYeung K +11 more
europepmc +3 more sources
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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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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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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Image Super-Resolution Reconstruction Method Based on Embeddable Network Structure [PDF]
Jisuanji gongcheng, 2021 The existing Super-Resolution(SR) image reconstruction models based on Convolutional Neural Networks(CNN) have multiple deficiencies,such as instable model training process and low convergence speed.To address the problem,this paper proposes an ...
QIANG Baohua, PANG Yuanchao, YANG Minghao, ZENG Kun, ZHENG Hong, XIE Wu, MO Ye
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Multi-frame Image Super-resolution Reconstruction Using Multi-grained Cascade Forest [PDF]
International Journal of Electronics and Telecommunications, 2019 Super-resolution image reconstruction utilizes two algorithms, where one is for single-frame image reconstruction, and the other is for multi-frame image reconstruction.
Yaming Wang, Zhikang Luo, Wenqing Huang
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Value of Virtual Reality Technology in Image Inspection and 3D Geometric Modeling
IEEE Access, 2020 Aiming at the poor expressive ability of image statistical information during the reconstruction process of traditional 3D image reconstruction method based on virtual reality technology, resulting in low accuracy of 3D image after reconstruction, a new ...
Longyu Lu, Jinkai Ma, Shuying Qu
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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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