Results 101 to 110 of about 259,715 (355)

Multi-Spectral Fusion and Denoising of Color and Near-Infrared Images Using Multi-Scale Wavelet Analysis

Sensors, 2021
We formulate multi-spectral fusion and denoising for the luminance channel as a maximum a posteriori estimation problem in the wavelet domain. To deal with the discrepancy between RGB and near infrared (NIR) data in fusion, we build a discrepancy model ...
Haonan Su, Cheolkon Jung, Long Yu
doaj   +1 more source

A Research and Strategy of Remote Sensing Image Denoising Algorithms

, 2019
Most raw data download from satellites are useless, resulting in transmission waste, one solution is to process data directly on satellites, then only transmit the processed results to the ground.
B Wen, BS Kumar, C Knaus, K Dabov, K Zhang, K Zhang, M Elad, S Ravishankar, W Dong, Y Chen   +9 more
core   +1 more source

MDL Denoising Revisited [PDF]

IEEE Transactions on Signal Processing, 2009
We refine and extend an earlier MDL denoising criterion for wavelet-based denoising. We start by showing that the denoising problem can be reformulated as a clustering problem, where the goal is to obtain separate clusters for informative and non-informative wavelet coefficients, respectively. This suggests two refinements, adding a code-length for the
Jorma Rissanen, Petri Myllymäki, Teemu Roos   +2 more
openaire   +3 more sources

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Feature-enhanced X-ray imaging using fused neural network strategy with designable metasurface

Nanophotonics, 2023
Scintillation-based X-ray imaging can provide convenient visual observation of absorption contrast by standard digital cameras, which is critical in a variety of science and engineering disciplines.
Shi Hao, Sun Yuanhe, Liang Zhaofeng, Cao Shuqi, Zhang Lei, Zhu Daming, Wu Yanqing, Yao Zeying, Chen Wenqing, Li Zhenjiang, Yang Shumin, Zhao Jun, Wang Chunpeng, Tai Renzhong   +13 more
doaj   +1 more source

3D Convolutional Neural Network-Based Denoising of Low-Count Whole-Body ¹⁸F-Fluorodeoxyglucose and ⁸⁹Zr-Rituximab PET Scans

Diagnostics, 2022
Acquisition time and injected activity of 18F-fluorodeoxyglucose (18F-FDG) PET should ideally be reduced. However, this decreases the signal-to-noise ratio (SNR), which impairs the diagnostic value of these PET scans.
Bart M. de Vries, Sandeep S. V. Golla, Gerben J. C. Zwezerijnen, Otto S. Hoekstra, Yvonne W. S. Jauw, Marc C. Huisman, Guus A. M. S. van Dongen, Willemien C. Menke-van der Houven van Oordt, Josée J. M. Zijlstra-Baalbergen, Liesbet Mesotten, Ronald Boellaard, Maqsood Yaqub   +11 more
doaj   +1 more source

Dictionary Learning and Sparse Coding-based Denoising for High-Resolution Task Functional Connectivity MRI Analysis

, 2017
We propose a novel denoising framework for task functional Magnetic Resonance Imaging (tfMRI) data to delineate the high-resolution spatial pattern of the brain functional connectivity via dictionary learning and sparse coding (DLSC). In order to address
AM Wink, B Biswal, B Jie, BT Yeo, C Bhushan, CY Wee, DM Barch, J Lv, J Lv, M Aharon, MD Fox, ML Xia, RL Buckner, S Zhao   +13 more
core   +1 more source

Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models

Advanced Functional Materials, EarlyView.
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen, Sabah Kasmi, Shrinivas Dumbre, Lies Baekens, Elise Seynaeve, Louise Van den Hauwe, Niccolò Cantini, Aello Garantoudi, Filipe Branco Madeira, Alain Marrot, Emma Tuypens, Sofie Seghers, Anna Kuchmiy, Elisabeth Brabants, Bart Vanderborght, Ine Maes, Sarah Vandenberghe, Jessica Filtjens, Alícia Gordún Peiró, Daliya Kancheva, Ayla Debraekeleer, Florence Lambolez, Emily De Lombaerde, Yong Chen, Rafael Miyazawa Martins, Pauline Formaglio, Damya Laoui, Sofie Deschoemaeker, Bruno G. De Geest, Rogerio Amino, Stefaan De Koker   +30 more
wiley   +1 more source

Sparse Representing Denoising of Hyperspectral Data for Water Color Remote Sensing

Applied Sciences, 2022
Hyperspectral data are important for water color remote sensing. The inevitable noise will devalue its application. In this study, we developed a 1-D denoising method for water hyperspectral data, based on sparse representing.
Yulong Guo, Qingsheng Bi, Yuan Li, Chenggong Du, Junchang Huang, Weiqiang Chen, Lingfei Shi, Guangxing Ji   +7 more
doaj   +1 more source

Graph Laplacian Regularization for Image Denoising: Analysis in the Continuous Domain

, 2017
Inverse imaging problems are inherently under-determined, and hence it is important to employ appropriate image priors for regularization. One recent popular prior---the graph Laplacian regularizer---assumes that the target pixel patch is smooth with ...
Cheung, Gene, Pang, Jiahao
core   +2 more sources