Results 31 to 40 of about 22,663 (297)
Projection Classification Based Iterative Algorithm
IOP Conference Series: Materials Science and Engineering, 2015 Iterative algorithm has good performance as it does not need complete projection data in 3D image reconstruction area. It is possible to be applied in BGA based solder joints inspection but with low convergence speed which usually acts with x-ray Laminography that has a worse reconstruction image compared to the former one. This paper explores to apply
Ruiqiu Zhang, Chen Li, Wenhua Gao
openaire +1 more source
Reconstruction of Signals From Level-Crossing Samples Using Implicit Information
IEEE Access, 2018 This paper focuses on the recovery of bandlimited signals from level-crossing samples by exploiting not only the knowledge of when given levels are crossed by the input, but also the implicit information that the signal stays between neighboring levels ...
Dominik Rzepka +3 more
doaj +1 more source
Inexact Bregman iteration with an application to Poisson data reconstruction
, 2013 This work deals with the solution of image restoration problems by an iterative regularization method based on the Bregman iteration. Any iteration of this scheme requires to exactly compute the minimizer of a function.
Ruggiero, V +3 more
core +1 more source
On the rate of convergence of iterated Bregman projections and of the alternating algorithm [PDF]
Journal of Mathematical Analysis and Applications, 2020 We study the alternating algorithm for the computation of the metric projection onto the closed sum of two closed subspaces in uniformly convex and uniformly smooth Banach spaces. For Banach spaces which are convex and smooth of power type, we exhibit a condition which implies linear convergence of this method.
Christian Bargetz, Emir Medjic
openaire +3 more sources
Coded Aperture Computed Tomography Via Generative Adversarial U-net
CT Lilun yu yingyong yanjiu, 2022 Generative adversarial U-net for coded aperture computed tomography (CT) is proposed in this paper to alleviate the tradeoff between the non-continuous sparse projections and the ill-posedness iterative reconstruction problem.
Zhiteng WANG +5 more
doaj +1 more source
Iterative projection algorithms for solving inverse problems [PDF]
Oceans 2003. Celebrating the Past ... Teaming Toward the Future (IEEE Cat. No.03CH37492), 2004 Inverse problems abound in the ocean sciences, as they do in almost every area of science and technology. Solutions to inverse problems are notoriously difficult, computationally expensive, and noise sensitive. Iterative projection algorithms have proved to be particularly useful for solving some image reconstruction problems with incomplete data ...
openaire +1 more source
RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells
FEBS Open Bio, EarlyView.RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour +2 more
wiley +1 more source
Journal of Inequalities and Applications, 2017 In this paper, we introduce two iterative algorithms for finding the solution of the sum of two monotone operators by using hybrid projection methods and shrinking projection methods.
Tadchai Yuying, Somyot Plubtieng
doaj +1 more source
System Matrix Analysis for Computed Tomography Imaging. [PDF]
PLoS ONE, 2015 In practical applications of computed tomography imaging (CT), it is often the case that the set of projection data is incomplete owing to the physical conditions of the data acquisition process.
Liubov Flores +2 more
doaj +1 more source
New Directions for Adult and Continuing Education, EarlyView.ABSTRACT This article examines the evolving role of organizational leadership amidst the rapid advancements in artificial intelligence (AI). It explores a broadly experienced and documented crisis in leadership, due in part to the disruptive nature of AI and emerging technology.
Rachel Wlodarsky, Davin Carr Chellman
wiley +1 more source