Results 71 to 80 of about 3,387 (229)

Equilibrium Propagation for Dissipative Dynamics

Advanced Intelligent Systems, EarlyView.
This work develops local learning rules for damped linear dynamical systems, including mechanical structures and resistor‐inductor‐capacitor (RLC) circuits, by leveraging an effective action formulation. It demonstrates how physical systems can autonomously compute gradients and learn temporal patterns, enabling applications such as sound ...
Marc Berneman, Daniel Hexner
wiley   +1 more source

Xstainer: A Novel Virtual Staining Tool Powered by Advanced Deep Learning Techniques

Advanced Intelligent Systems, EarlyView.
Xstainer is a deep learning–based virtual staining framework that converts hematoxylin and eosin‐stained whole slide images into multiple histochemical stains, including Masson's trichrome, Periodic acid‐Schiff, Jones methenamine silver, and Toluidine blue.
Fatma Nur Kinali, Derya Demir, Kutsev B. Ozyoruk, Yasin Almalioglu, Emre C. Kose, Drew F. K. Williamson, Gurdeniz Serin, G. Evren Keles, Banu S. Kumbaraci, Ceren Utku, Uguray P. Hacisalihoglu, Ilknur Turkmen, Figen Ozturk, Kayhan Basak, Yavuz Nuri Ertas, Mehmet Turan   +15 more
wiley   +1 more source

Image Denoising Using a Compressive Sensing Approach Based on Regularization Constraints

Sensors, 2022
In remote sensing applications and medical imaging, one of the key points is the acquisition, real-time preprocessing and storage of information. Due to the large amount of information present in the form of images or videos, compression of these data is
Assia El Mahdaoui, Abdeldjalil Ouahabi, Mohamed Said Moulay   +2 more
doaj   +1 more source

A Demosaicking Algorithm with Adaptive Inter-Channel Correlation

Image Processing On Line, 2015
Most common cameras use a CCD sensor device measuring a single color per pixel. Demosaicking is the interpolation process by which one can infer a full color image from such a matrix of values, thus interpolating the two missing components per pixel ...
Joan Duran, Antoni Buades
doaj   +1 more source

Hyperspectral Image Denoising via Nonlocal Spectral Sparse Subspace Representation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Hyperspectral image (HSI) denoising based on nonlocal subspace representation has attracted a lot of attention recently. However, most of the existing works mainly focus on refining the representation coefficient images (RCIs) using certain nonlocal ...
Hailin Wang, Jiangjun Peng, Xiangyong Cao, Jianjun Wang, Qibin Zhao, Deyu Meng   +5 more
doaj   +1 more source

Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising [PDF]

, 2018
Compared with color or grayscale images, hyperspectral images deliver more informative representation of ground objects and enhance the performance of many recognition and classification applications.
Yan Xing, Lu Bai, Jun Zhou, Zhou, Jun, Xu, Fan, Xing, Yan, Fan Xu, Zhou, Lei, Bai, Lu, Bai, Xiao, Lei Zhou, Xiao Bai   +11 more
core   +1 more source

Laplacian Eigenmaps Network-Based Nonlocal Means Method for MR Image Denoising

Sensors, 2019
Magnetic resonance (MR) images are often corrupted by Rician noise which degrades the accuracy of image-based diagnosis tasks. The nonlocal means (NLM) method is a representative filter in denoising MR images due to its competitive denoising performance.
Houqiang Yu, Mingyue Ding, Xuming Zhang
doaj   +1 more source

Image Denoising Using Hybrid Singular Value Thresholding Operators

IEEE Access, 2020
Truncated singular value decomposition (TSVD) is a simple and efficient technique for patch-based image denoising, in which a hard thresholding operator is utilized to set some small singular values to zero.
Fan Zhang, Hui Fan, Peiqiang Liu, Jinjiang Li   +3 more
doaj   +1 more source

Image denoising based on global image similar patches searching and HOSVD to patches tensor

EURASIP Journal on Advances in Signal Processing, 2021
Nonlocal self-similarity of natural image is an essential property for image processing. But how to measure the similarity between different patches and how to better exploit the similarity of patches are two crucial problems for image denoising. In this
Jiye Guo, Huayan Chen, Zhengwei Shen, Ziqing Wang   +3 more
doaj   +1 more source

Combined subspace low rank learning and nonlocal low rank estimation for spectral super-resolution of multispectral remote sensing images

International Journal of Digital Earth
Spectral Super-Resolution (SR) of Multispectral Images (MSI) enhances spectral resolution in MSI's non-overlapping regions by utilizing the overlapping regions with Hyperspectral Images (HSI).
Jun Zhou, Weiwei Sun, Xiangchao Meng, Gang Yang, Binjie Chen, Kai Ren   +5 more
doaj   +1 more source