Results 81 to 90 of about 11,782,843 (259)

Directional edge and texture representations for image processing [PDF]

, 2007
An efficient representation for natural images is of fundamental importance in image processing and analysis. The commonly used separable transforms such as wavelets axe not best suited for images due to their inability to exploit directional ...
Yao, Zhen
core  

Copper‐Driven Epithelial Barrier Disruption: A Novel Mechanism of COPD Acute Exacerbations Mediated by the TNF‐α/ATP7A Axis

Advanced Science, EarlyView.
This study reveals a copper‐driven mechanism of COPD acute exacerbations mediated by the TNF‐α/ATP7A axis. TNF‐α suppresses the copper transporter ATP7A via competitive NF‐κB/CREB1/CBP signaling, resulting in intracellular copper accumulation, mitochondrial oxidative stress, and epithelial barrier disruption.
Xinru Xiao, Yongzhe Hao, Ziqi Ding, Zhipeng Wang, Yujia Shi, Yanhua Huang, Chunjian Qi, Qian Zhang   +7 more
wiley   +1 more source

Deep learning informed diffusion equation model for image denoising

IET Image Processing
Image denoising is one of the fundamental problems in image processing. Convolutional neural network (CNN) based denoising approaches have achieved better performance than traditional methods, such as STROLLR and BM3D.
Yao Li, Li Cheng, Zhichang Guo, Yuming Xing   +3 more
doaj   +1 more source

A study of blind denoising algorithms for two-scale real images based on partial differential equations

Journal of Radiation Research and Applied Sciences
In order to better preserve the details and texture information in the image, a dual scale real image blind denoising algorithm based on partial differential equations is studied.
Yang Liu
doaj   +1 more source

The 14 test images for image denoising.

, 2018
The 14 test images for image denoising.
Ming Yang (109148), Kun Liu (148201), Xiaoming Xiong (6078401), Mingqing Xiao (6078404), Shuting Cai (2073592), Jianliang Tang (6078398)   +5 more
core   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

A Hierarchical Bayesian Model for Frame Representation [PDF]

, 2010
In many signal processing problems, it is fruitful to represent the signal under study in a frame. If a probabilistic approach is adopted, it becomes then necessary to estimate the hyperparameters characterizing the probability distribution of the frame
Amel Benazza-Benyahia, Ciuciu, Philippe, Chaari, Lotfi, Philippe Ciuciu, Jean-Yves Tourneret, Jean-Christophe Pesquet, Lotfi Chaari, Tourneret, Jean-Yves, Pesquet, Jean-Christophe, Benazza-Benyahia, Amel   +9 more
core   +1 more source

Fluorescence Microscopy Image Denoising Dataset: Validation

, 2022
Here is the repository for the validation of Noise2Noise ImageJ plugin model with out-of-distribution samples. Note: These results are using only test (inference) with the pre-trained image denoising models.
Varun Mannam (17332372)
core   +1 more source

Atomic Defects in Layered Transition Metal Dichalcogenides for Sustainable Energy Storage and the Intelligent Trends in Data Analytics

Advanced Science, EarlyView.
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo, Ying Yang, Zizhen Fu, Fengqi Liu, Susu Fang, Kele Xu, Shanshan Wang   +6 more
wiley   +1 more source

Image denoising method integrating ridgelet transform and improved wavelet threshold.

PLoS ONE
In the field of image processing, common noise types include Gaussian noise, salt and pepper noise, speckle noise, uniform noise and pulse noise. Different types of noise require different denoising algorithms and techniques to maintain image quality and
Bingbing Li, Yao Cong, Hongwei Mo
doaj   +1 more source