Search Results - "Burger, H. C."

Signal noise estimation and removal of sub‐mm 3D pavement texture data using 1D residual denoising network.

Authors: Wang, Guolong Wang, Kelvin C. P. Yang, Guangwei et al.

Source: Computer-Aided Civil & Infrastructure Engineering; 8/18/2025, Vol. 40 Issue 20, p3033-3052, 20p

RETRACTED: DAE‐GAN: An autoencoder based adversarial network for Gaussian denoising.

Authors: Samanta, Abhishek Saha, Aheli Satapathy, Suresh Chandra et al.

Source: Expert Systems; Feb2025, Vol. 42 Issue 2, p1-7, 7p

Development of Image Preprocessing Methods for Software Compensation of Refraction Anomalies of an Observer's Eyes.

Authors: Alkzir, N. B. Yarykina, M. S. Nikolaev, D. P. et al.

Source: Neuroscience & Behavioral Physiology. Nov2024, Vol. 54 Issue 9, p1466-1479. 14p.

Learning Multi‐Scale Deep Image Prior for High‐Quality Unsupervised Image Denoising.

Authors: Jiang, Hao Zhang, Qing Nie, Yongwei et al.

Source: Computer Graphics Forum; Oct2022, Vol. 41 Issue 7, p323-334, 12p, 13 Color Photographs, 1 Diagram, 2 Charts

Solving a generalized order improved diffusion equation of image denoising using a CeNN-based scheme.

Authors: Lakra, Mahima Kumar, Sanjeev

Source: Multimedia Tools & Applications; Sep2022, Vol. 81 Issue 22, p32393-32420, 28p

Mural inpainting via two-stage generative adversarial network.

Authors: Lyu, Qiongshuai Zhao, Na Song, Junke et al.

Source: npj Heritage Science. 5/19/2025, Vol. 13 Issue 1, p1-11. 11p.

Dual Convolutional Neural Networks for Low-Level Vision.

Authors: Pan, Jinshan Sun, Deqing Zhang, Jiawei et al.

Source: International Journal of Computer Vision; Jun2022, Vol. 130 Issue 6, p1440-1458, 19p

Ancient Stone Inscription Image Denoising and Inpainting Methods Based on Deep Neural Networks.

Authors: Zhang, Haoming Qi, Yue Xue, Xiaoting et al.

Source: Discrete Dynamics in Nature & Society; 12/20/2021, p1-11, 11p

DSTnet: a new discrete shearlet transform-based CNN model for image denoising.

Authors: Lyu, Zhiyu Zhang, Chengkun Han, Min

Source: Multimedia Systems; Dec2021, Vol. 27 Issue 6, p1165-1177, 13p

Incorporating Side Information by Adaptive Convolution.

Authors: Kang, Di Dhar, Debarun Chan, Antoni B.

Source: International Journal of Computer Vision; Dec2020, Vol. 128 Issue 12, p2897-2918, 22p

SCGA‐Net: Skip Connections Global Attention Network for Image Restoration.

Authors: Ren, Dongdong Li, Jinbao Han, Meng et al.

Source: Computer Graphics Forum; Oct2020, Vol. 39 Issue 7, p507-518, 12p

Convolutional Neural Network Combined with Half-Quadratic Splitting Method for Image Restoration.

Authors: Li, Ran Luo, Lin Zhang, Yu

Source: Journal of Sensors; 8/28/2020, p1-12, 12p

Molecular phylogeny and systematic in the genus Brachycaudus (Homoptera: Aphididae): insights from a combined analysis of nuclear and mitochondrial genes.

Authors: Coeur d’acier, Armelle Cocuzza, Giuseppe Jousselin, Emmanuelle et al.

Source: Zoologica Scripta. Mar2008, Vol. 37 Issue 2, p175-193. 19p. 4 Diagrams, 3 Charts, 1 Graph.

Deep Image Prior.

Authors: Ulyanov, Dmitry Vedaldi, Andrea Lempitsky, Victor

Source: International Journal of Computer Vision; Jul2020, Vol. 128 Issue 7, p1867-1888, 22p, 14 Color Photographs, 1 Black and White Photograph, 2 Diagrams, 3 Charts, 4 Graphs

Automatically Enhanced OCT Scans of the Retina: A proof of concept study.

Authors: Apostolopoulos, Stefanos Salas, Jazmín Ordóñez, José L. P. et al.

Source: Scientific Reports. 5/8/2020, Vol. 10 Issue 1, p1-8. 8p.

Mesh Defiltering via Cascaded Geometry Recovery.

Authors: Wei, M. Guo, X. Huang, J. et al.

Source: Computer Graphics Forum; Oct2019, Vol. 38 Issue 7, p591-605, 15p

BDANET: BOOSTED DENSE ATTENTION HIERARCHICAL NETWORK FOR IMAGE DENOISING.

Authors: Yun JIA Lidan YU Jie ZHAO

Source: Computing & Informatics; 2024, Vol. 43 Issue 5, p1111-1136, 26p

Deep learning for blind structured illumination microscopy.

Authors: Xypakis, Emmanouil Gosti, Giorgio Giordani, Taira et al.

Source: Scientific Reports. 5/21/2022, Vol. 12 Issue 1, p1-7. 7p.

Fully Symmetric Convolutional Network for Effective Image Denoising.

Authors: Priyanka, Steffi Agino Wang, Yuan-Kai

Source: Applied Sciences (2076-3417); Feb2019, Vol. 9 Issue 4, p778, 19p

Bayesian denoising of structured sources and its implications on learning-based denoising.

Authors: Zhou, Wenda Wabnig, Joachim Jalali, Shirin

Source: Information & Inference: A Journal of the IMA. Dec2023, Vol. 12 Issue 4, p2503-2545. 43p.