Results 101 to 110 of about 19,283,190 (228)

A Characterization of the Domain of Beta-Divergence and Its Connection to Bregman Variational Model

Entropy, 2017
In image and signal processing, the beta-divergence is well known as a similarity measure between two positive objects. However, it is unclear whether or not the distance-like structure of beta-divergence is preserved, if we extend the domain of the beta-
Hyenkyun Woo
doaj   +1 more source

Deep plug-and-play denoising prior with total variation regularization for low-dose CT

Frontiers in Physics
X-ray computed tomography (CT) is widely used in clinical practice for screening and diagnosing patients, as it enables the acquisition of high-resolution images of internal tissues and organs in a non-invasive manner.
Yinjin Ma, Yajuan Zhang, Lin Chen, Qiang Jiang, Fengjuan Shi, Biao Wei   +5 more
doaj   +1 more source

A weighted denoising method based on Bregman iterative regularization and gradient projection algorithms

Journal of Inequalities and Applications, 2017
A weighted Bregman-Gradient Projection denoising method, based on the Bregman iterative regularization (BIR) method and Chambolle’s Gradient Projection method (or dual denoising method) is established.
Beilei Tong
doaj   +1 more source

Design of Compressed Sensing Algorithm for Coal Mine IoT Moving Measurement Data Based on a Multi-Hop Network and Total Variation

Sensors, 2018
As the application of a coal mine Internet of Things (IoT), mobile measurement devices, such as intelligent mine lamps, cause moving measurement data to be increased.
Gang Wang, Zhikai Zhao, Yongjie Ning
doaj   +1 more source

Total Variation Based Interpolation

, 1998
Publication in the conference proceedings of EUSIPCO, Rhodes, Greece ...
Frédéric Guichard, François Malgouyres   +1 more
openaire   +3 more sources

Removing Scattered Light in Biomedical Images via Total Variation Guided Filter

IEEE Access
The scattered light is common in biomedical images. However, its removal is a challenging task. The challenge comes from two aspects. First, the scattered-light-free ground truth biomedical images are difficult to obtain or even unavailable.
Yuanhao Gong
doaj   +1 more source

Non-convex Total Variation Regularization for Convex Denoising of Signals

Journal of Mathematical Imaging and Vision, 2020
I. Selesnick, A. Lanza, S. Morigi, F. Sgallari   +3 more
semanticscholar   +1 more source

Reconstruction of Sparse-View X-ray Computed Tomography Based on Adaptive Total Variation Minimization. [PDF]

Micromachines (Basel), 2023
Yu Z, Wen X, Yang Y.
europepmc   +1 more source

Multi-source information transmission and classification algorithm for equipment based on compressed sensing

Tongxin xuebao, 2020
Aiming at the characteristics of various types of equipment in coal preparation plant and the dispersion of monitoring points,a multi-source information wireless transmission and classification algorithm for equipment based on compressed sensing was ...
Xiaohu ZHAO, Gang WANG, Boming SONG, Jiacheng YU   +3 more
doaj  

An optical multiple-image authentication based on computational ghost imaging and total-variation minimization. [PDF]

Heliyon, 2023
Zhou Y, Sun Y, Yang M, Hou J, Xiao Z, Anand A, Sui L.   +6 more
europepmc   +1 more source