Results 101 to 110 of about 18,244,520 (347)

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Multi-task learning with self-learning weight for image denoising

open access: yesJournal of Engineering and Applied Science
Background Image denoising technology removes noise from the corrupted image by utilizing different features between image and noise. Convolutional neural network (CNN)-based algorithms have been the concern of the recent progress on diverse image ...
Qian Xiang, Yong Tang, Xiangyang Zhou
doaj   +1 more source

Multi-View Image Denoising Using Convolutional Neural Network

open access: yesSensors, 2019
In this paper, we propose a novel multi-view image denoising algorithm based on convolutional neural network (MVCNN). Multi-view images are arranged into 3D focus image stacks (3DFIS) according to different disparities.
Shiwei Zhou, Yu-Hen Hu, Hongrui Jiang
doaj   +1 more source

Deep Neural Network for Image Super Resolution Driven by Prior Denoising

open access: yesNantong Daxue xuebao. Ziran kexue ban, 2021
In order to improve image super resolution, a double layer convolution neural network in image denoising is embedded in image restoration tasks. The image super resolution method driven by prior denoising with deep neural network is proposed.
CHENG Fanqiang;ZHU Yonggui;, ZHU Yonggui
doaj   +1 more source

Hyperanalytic denoising [PDF]

open access: yes, 2007
A new threshold rule for the estimation of a deterministic image immersed in noise is proposed. The full estimation procedure is based on a separable wavelet decomposition of the observed image, and the estimation is improved by introducing the new ...
Olhede, SC
core  

CharlesDove/DCNN-Laser-Speckle-Image-Denoising: Initial Release

open access: yes, 2019
Model and data to accompany the paper "Laser Speckle Image Denoising with Deep Convolutional Neural ...
CharlesDove
core   +1 more source

Metal Oxide Nano‐Interface Boosting the Deep Ultraviolet Adjustable Noise‐Filtering In‐Sensor Computing

open access: yesAdvanced Materials, EarlyView.
We show that sol‐gel‐fractured indium–magnesium oxide combines deep‐ultraviolet responsivity, high carrier mobility, and an excellent memory dynamic range. This unique materials platform enables deep‐ultraviolet long‐afterglow light‐emitting devices with multifunctional integration.
Zhongshi Ju   +9 more
wiley   +1 more source

A New Nonlinear Diffusion Equation Model for Noisy Image Segmentation

open access: yesAdvances in Mathematical Physics, 2016
Image segmentation and image denoising are two important and fundamental topics in the field of image processing. Geometric active contour model based on level set method can deal with the problem of image segmentation, but it does not consider the ...
Bo Chen   +5 more
doaj   +1 more source

ANALYSIS AND PREDICTION OF FILTERING EFFICIENCY USING NO-REFERENCE IMAGE VISUAL QUALITY METRICS

open access: yesРадіоелектронні і комп'ютерні системи, 2018
Images are subject to noise during acquisition, transmission and processing. Image denoising is highly desirable, not only to provide better visual quality, but also to improve performance of the subsequent operations such as compression, segmentation ...
Андрей Сергеевич Рубель   +1 more
doaj   +1 more source

A Second-Order Method for Removing Mixed Noise from Remote Sensing Images

open access: yesSensors, 2023
Remote sensing image denoising is of great significance for the subsequent use and research of images. Gaussian noise and salt-and-pepper noise are prevalent noises in images.
Ying Zhou   +6 more
doaj   +1 more source

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