Search Results - "Image reconstruction"

基于深度学习的 EPRI 稀疏重建方法. (Chinese)

Authors: 杜聪聪 乔志伟

Source: CT Theory & Applications; May2026, Vol. 35 Issue 3, p513-521, 9p

Physics-driven deep learning photoacoustic tomography.

Authors: Shen, Kang Niu, Kuo Liu, Songde et al.

Source: Fundamental Research. May2026, Vol. 6 Issue 3, p1715-1726. 12p.

DPGI: A Two-Stage Framework for Robust Super-Resolution Ghost Imaging in Noisy Environments.

Authors: Chen, Zhongyang Xuan, Hejun Yang, Zhipeng

Source: IAENG International Journal of Computer Science. Jul2026, Vol. 53 Issue 7, p2575-2582. 8p.

Subjects: Image reconstruction, Mathematical regularization, Deep learning, Speckle interference, Robust statistics, High resolution imaging

Hierarchical Scale-Adaptive Diffusion Priors for Efficient Remote Sensing Dehazing.

Authors: Ju, Wei Liang, Zheng Chen, Huan et al.

Source: Remote Sensing. Jun2026, Vol. 18 Issue 12, p1907. 20p.

Subjects: Haze, Image reconstruction, Probabilistic generative models, Aerial surveillance

Adaptive Secure Image Transmission Using Tri-Layered Visual Cryptography and Residual Error Reduction for AI-Driven Interactive Mobile Learning Platforms.

Authors: Raju, S. Shibani Thenmozhi, R.

Source: International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 12, p72-86. 15p.

Subjects: Visual cryptography, Image reconstruction, Image quality analysis, Information technology security, Deep learning, Mobile learning

Energy-Efficient Spiking Spectral-Weighting Reconstruction Network for Compressive Hyperspectral Imaging.

Authors: Fang, Zhen Ma, Xu

Source: Remote Sensing. Jun2026, Vol. 18 Issue 11, p1805. 24p.

Subjects: Image reconstruction, Spectral imaging, Artificial neural networks, Feature extraction

Blind-Spot KAN-Based Background Reconstruction Network with Prior Purification for Hyperspectral Anomaly Detection.

Authors: Yu, Lifeng Liu, Yifan Gao, Hongmin

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1628. 19p.

Subjects: Outlier detection, Image reconstruction, Deep learning

S 3 R-GS: Saliency-Guided Gaussian Splatting for Arbitrary-Scale Spacecraft Image Super-Resolution.

Authors: Liu, Chuyang Wu, Liangyi Liu, Kai et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1585. 23p.

Subjects: Image reconstruction, Clustering algorithms, Pose estimation (Computer vision), Image representation, High resolution imaging

Spectral–Spatial Masked Auto-Encoder with Central Pixel Reconstruction for Semi-Supervised Hyperspectral Image Classification.

Authors: Wang, Heng Hong, Ruize Wu, Yanxia et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 10, p1571. 31p.

Subjects: Image reconstruction, Machine learning, Artificial neural networks

BCDA-Net: A Bottleneck-Free Channel Dual-Path Aggregation Network for Infrared Image Destriping.

Authors: Chen, Lingzhi Dong, Feng Huang, Lingfeng et al.

Source: Remote Sensing. May2026, Vol. 18 Issue 9, p1321. 24p.

Subjects: Image denoising, Image reconstruction, Infrared imaging, Deep learning, Remote sensing, Noise control

Criteria for selecting the Paganin‐filter reconstruction parameter in X‐ray phase‐contrast tomography.

Authors: Miqueles, Eduardo X. de Oliveira, Everton L. Carvalho, Murilo et al.

Source: Journal of Synchrotron Radiation. May2026, Vol. 33 Issue 3, p746-758. 13p.

Subjects: Parameter estimation, Image reconstruction, Image processing, Signal processing, Computed tomography, Synchrotron radiation

On the optimization of the geometric pattern for structured illumination based X‐ray phase contrast and dark‐field imaging: a simulation study and its experimental validation.

Authors: Magnin, Clara Quénot, Laurene Cenda, Dan Mihai et al.

Source: Journal of Synchrotron Radiation. May2026, Vol. 33 Issue 3, p806-817. 12p.

Subjects: X-ray imaging, Image reconstruction, Interferometry, Diagnostic imaging

Event‐Based Spatiotemporal Disentangled Aggregation for Image Reconstruction.

Authors: Wang, Yanwei Peng, Chubin Min, Zhenhui et al.

Source: International Journal of Intelligent Systems. 5/4/2026, Vol. 2026, p1-22. 22p.

Subjects: Image reconstruction, Signal denoising, Computer vision, Convolutional neural networks, Image sensors, Noise control

An Underwater Image Enhancement Method based on Implicit Neural Representation.

Authors: Chen, Jinghao Du, Mengzhen Zhangzhu, Huayang

Source: IAENG International Journal of Computer Science; Jul2026, Vol. 53 Issue 7, p2811-2824, 14p

Top-down and bottom-up attention for joint pattern classification and reconstruction.

Authors: Veiga, Ricardo A. Zanutto, Bonifacio Silvano

Source: PLoS ONE. 7/1/2026, Vol. 21 Issue 7, p1-17. 17p.

Subgradient-extragradient algorithms with double inertial terms for solving image restoration problems.

Authors: KITKUAN, DUANGKAMON PADCHAROEN, ANANTACHAI THIANWAN, TANAKIT

Source: Carpathian Journal of Mathematics. 2026, Vol. 42 Issue 3, p509-540. 32p.

Improved image reconstruction in coherent diffraction imaging using self‐seeded XFEL pulses.

Authors: Shin, Jaeyong Hwang, Junha Kim, Sejin et al.

Source: Journal of Synchrotron Radiation. Jul2026, Vol. 33 Issue 4, p904-912. 9p.

Deep learning-assisted reconstruction of Raman speckle images transmitted through biological tissues.

Authors: Xie, Haoqiang Wang, Erjia Bao, Zhouzhou et al.

Source: Journal of Innovative Optical Health Sciences. Jul2026, Vol. 19 Issue 4, p1-14. 14p.

A New Resolvent‐Based Method for Solving Generalized Variational Inclusions and Its Application to Image Deblurring.

Authors: AlNemer, Ghada Farid, Mohammad Ali, Rehan et al.

Source: Journal of Mathematics. 6/29/2026, Vol. 2026, p1-19. 19p.

Intelligent Digital Rock Physics: Advances and Perspectives from Imaging Reconstruction to Pore-Scale Multiphase Flow Simulation.

Authors: Li, Xue Zhu, Lin Gao, Feng et al.

Source: Applied Sciences (2076-3417); Jun2026, Vol. 16 Issue 12, p6118, 32p