Search Results - "Image reconstruction algorithms"

Precise Image 算法在肺部 CT 成像中的应用价值. (Chinese)

Authors: 江宜桓 刘晓静 宁先英 et al.

Source: CT Theory & Applications; May2026, Vol. 35 Issue 3, p546-554, 9p

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

Multi Scale Fusion based Generative Adversarial Network for Satellite Image Dehazing.

Authors: MALOTHU, NARESH JATOTH, RAVI KUMAR AHADIT, ALAGESAN BHUVANESWARI

Source: Journal of Information Science & Engineering; May2026, Vol. 42 Issue 3, p779-791, 13p

Autofocus method for SAR based on dynamically randomized block sampling in wavenumber domain.

Authors: Zhao, Xingyu Ma, Yanheng Chu, Lina et al.

Source: EURASIP Journal on Advances in Signal Processing; 4/20/2026, Vol. 2026 Issue 1, p1-31, 31p

基于多层次特征增强的图像压缩感知重构算法.

Alternate Title: Image compressive sensing reconstruction algorithm based on multilevel feature enhancement.

Authors: 刘玉红 李 丹

Source: Application Research of Computers / Jisuanji Yingyong Yanjiu. Apr2026, Vol. 43 Issue 4, p1272-1280. 9p.

Metal Artifact Reduction in CT Based on a Nonlinear Weighted Anisotropic TV Regularization.

Authors: Liu, Shuangyang Wang, Haiyang Song, Yizhuang

Source: Mathematics (2227-7390). Apr2026, Vol. 14 Issue 7, p1230. 21p.

A discrete grayscale prior-based exterior reconstruction algorithm for polychromatic X-ray CT.

Authors: Fu, Haifang Liu, Zhiting Zhao, Yunsong

Source: Journal of X-Ray Science & Technology. Jan2026, Vol. 34 Issue 1, p16-26. 11p.

Subjects: X-ray imaging, Image reconstruction algorithms, Image reconstruction, Mathematical regularization, Nondestructive testing, Grayscale model, Computed tomography, Frequency spectra

A novel high order directional total variation algorithm of EPR imaging for fast scan.

Authors: Fang, Chenyun Xi, Yarui Hu, Rui et al.

Source: Journal of X-Ray Science & Technology. Jan2026, Vol. 34 Issue 1, p27-38. 12p.

Subjects: Electron paramagnetic resonance, Image reconstruction algorithms, Three-dimensional imaging, Diagnostic imaging, Image reconstruction, Signal processing

An Inpainting Model of Fractal Group Sparse Representation Combined With Residual Denoising Network.

Authors: Li, Zun Zhao, Wei Elhanashi, Abdussalam

Source: Journal of Engineering (2314-4912). 3/22/2026, Vol. 2026, p1-10. 10p.

Subjects: Image reconstruction algorithms, Image denoising, Signal-to-noise ratio, Signal denoising, Image quality in imaging systems

A dehazing algorithm of compensated transmission based on negative haze concentration correction.

Authors: LŪ, Dongxia YANG, Yan

Source: Journal of Measurement Science & Instrumentation. Mar2026, Vol. 17 Issue 1, p88-96. 9p.

Subjects: Image reconstruction algorithms, Atmospheric turbidity, Image processing

CSCGAN: Cross-Space Contrastive Learning for Blind Image Inpainting.

Authors: Jin, Sheng Zhang, Weijing Chu, Tianyi et al.

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p2969, 15p

GMUD-Net: Global Modulated Unbalanced Dual-Branch Network for Image Restoration in Various Degraded Environments.

Authors: Wang, Shengchun Liu, Yingjie Zhu, Huijie

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 6, p2854, 20p

Feature Complementarity-Guided Multi-Weight Multi-Scale Fusion Framework for Underwater Image Enhancement.

Authors: Sang, Gaopeixuan Cheng, Tianyu Hua, Liang

Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2451, 21p

A W-Structured Encoder-Decoder Network Combining Swin Transformer and CNN for Image Inpainting Forensics.

Authors: Mohamed, Mohamed Fathy ElSayed, Hala Abdel-Galil Ehssan Aly, Soha Ahmed

Source: Journal of Communications Software & Systems; Mar2026, Vol. 22 Issue 1, p119-130, 12p

Optimization of image quality and diagnostic accuracy for vascular stenosis in computed tomography perfusion-reconstructed cerebral computed tomography angiography using deep learning reconstruction.

Authors: Zhang, Lulu Feng, Xianghao Zhang, He et al.

Source: Journal of Clinical Imaging Science. Mar2026, Vol. 16 Issue 3, p1-11. 11p.

Advanced image reconstruction algorithms for high-resolution digital time-of-flight PET/CT enhance visualization of sub-clinical internal mammary lymph node metastases in breast cancer: a phantom and a clinical, retrospective cohort study.

Authors: Satoh, Yoko Miwa, Kenta Takenaka, Akinori et al.

Source: EJNMMI Physics. 2/22/2026, Vol. 13 Issue 1, p1-16. 16p.

Curvy Surface Reconstruction.

Authors: Shang, Chen Qi, Haoyu Wang, Zhigang et al.

Source: Advanced Science. 2/3/2026, Vol. 13 Issue 7, p1-33. 33p.

Characterization of the Physical Image Quality of a Clinical Photon-Counting Computed Tomography Scanner Across Multiple Acquisition and Reconstruction Settings.

Authors: Barca, Patrizio Masturzo, Luigi De Masi, Luca et al.

Source: Applied Sciences (2076-3417); Feb2026, Vol. 16 Issue 3, p1322, 21p

深度学习重建算法联合超高分辨力探测器 对眼眶 CT 图像质量的影响. (Chinese)

Authors: 赵一昂 程雨荷 马梓轩 et al.

Source: CT Theory & Applications; Jan2026, Vol. 35 Issue 1, p80-85, 6p

深度学习重建算法在超高分辨力颅脑 CT 中的 图像质量改善与剂量降低研究. (Chinese)

Authors: 杨佳硕 程雨荷 马梓轩 et al.

Source: CT Theory & Applications; Jan2026, Vol. 35 Issue 1, p74-79, 6p