Results 101 to 110 of about 118,476 (365)

Generative Adversarial Neural Networks for Denoising Coherent Multidimensional Spectra

, 2022
Ultrafast spectroscopy often involves measuring weak signals and long data acquisition times. Spectra are typically collected as a “pump-probe” spectrum by measuring differences in intensity across laser shots.
Ziareena, Al-Mualem, Carlos, Baiz
core   +1 more source

Distribution Conditional Denoising: A Flexible Discriminative Image Denoiser

CoRR, 2020
A flexible discriminative image denoiser is introduced in which multi-task learning methods are applied to a densoising FCN based on U-Net. The activations of the U-Net model are modified by affine transforms that are a learned function of conditioning inputs.
openaire   +2 more sources

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Low-Dose CT Image Denoising Using a Generative Adversarial Network With a Hybrid Loss Function for Noise Learning

IEEE Access, 2020
Potential risk of X-ray radiation from computed tomography (CT) has been a concern of the public. However, simply decreasing the dose will degrade quality of the CT images and compromise diagnostic performance.
Yinjin Ma, Biao Wei, Peng Feng, Peng He, Xiaodong Guo, Ge Wang   +5 more
doaj   +1 more source

Adaptive anatomical preservation optimal denoising for radiation therapy daily MRI

, 2017
Low-field magnetic resonance imaging (MRI) has recently been integrated with radiation therapy systems to provide image guidance for daily cancer radiation treatments. The main benefit of the low-field strength is minimal electron return effects.
Gach, H. Michael, Roach, Michael, Anupama Chundury, Shimony, Joshua S., H. Michael Gach, H. Harold Li, Perez-Carrillo, Gloria J. Guzman, Maitree, Rapeepan, Rapeepan Maitree, Deshan Yang, Li, H. Harold, Joshua S. Shimony, Chundury, Anupama, Yang, Deshan, Michael Roach, Gloria J. Guzman Perez-Carrillo   +15 more
core   +1 more source

Joint Image Denoising with Gradient Direction and Edge-Preserving Regularization

, 2021
Joint image denoising algorithms use the structures of the guidance image as a prior to restore the noisy target image. While the provided guidance images are helpful to improve the denoising performance, the denoised edges are most likely to be blurred ...
Li, Pengliang, Yu, Guoyang, Fan, Wen, Liang, Junli, Zhang, Miaohua   +4 more
core   +1 more source

Low‐Temperature Processed Optoelectronic Synapses With Enhanced Responsivity for Edge‐Oriented In‐Sensor Reservoir Computing

Advanced Materials Technologies, EarlyView.
Image pixels are converted into optical pulse sequences to stimulate the optoelectronic synaptic device, generating dynamic responses that form high‐dimensional features. These features improve classification efficiency and demonstrate strong potential for neuromorphic edge computing systems.
Jo‐Lin Chen, Shi‐Qian Guo, Yu‐Chuan Chiu, Po‐Tsun Liu   +3 more
wiley   +1 more source

Segmentation‐enhanced gamma spectrum denoising based on deep learning

IET Communications
Gamma spectrum denoising can reduce the adverse effects of statistical fluctuations of radioactivity, gamma ray scattering, and electronic noise on the measured gamma spectrum.
Xiangqun Lu, Hongzhi Zheng, Yaqiong Liu, Hongxing Li, Qingyun Zhou, Tao Li, Hongguang Yang   +6 more
doaj   +1 more source

Denoising of SAR images

, 2011
Matter of discussion in this Ph. D. thesis is SAR (Synthetic Aperture Radar) image denoising. Main elements of innovation are the introduction of SAR-BM3D, a denoising algorithm optimized for SAR data, and the introduction of a benchmark which enables ...
Poderico, Mariana
core  

A clustering based denoising technique for range images of time of flight cameras

, 2008
A relatively new technique for measuring the 3D structure of visual scenes is provided by time of flight (TOF) cameras. Reflections of modulated light waves are recorded by a parallel pixel array structure.
Schoner, H., A. A. Dorrington, Dorrington, Adrian A., Payne, Andrew D., Moser, B., B. Heise, A. D. Payne, F. Bauer, B. Moser, H. Schoner, Heise, B., Bauer, F., M. J. Cree, Cree, Michael J.   +13 more
core   +1 more source