Results 21 to 30 of about 179,319 (288)
Adaptive Alternating Minimization Algorithms [PDF]
, 2008 The classical alternating minimization (or projection) algorithm has been successful in the context of solving optimization problems over two variables. The iterative nature and simplicity of the algorithm has led to its application to many areas such as
Niesen, Urs +2 more
core +3 more sources
Abstract and Applied Analysis, 2014 We first introduce and analyze one iterative algorithm by using the composite shrinking projection method for finding a solution of the system of generalized equilibria with constraints of several problems: a generalized mixed equilibrium problem ...
Lu-Chuan Ceng +4 more
doaj +1 more source
BioMedical Engineering OnLine, 2011 Background Computed Tomography (CT) is a technology that obtains the tomogram of the observed objects. In real-world applications, especially the biomedical applications, lower radiation dose have been constantly pursued.
Li Xueli, Luo Shuqian
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
AIP Advances, 2019 Projection tomography techniques, such as optical projection tomography and stimulated Raman projection tomography, can efficiently provide quantitative distributions of compositions in three-dimensional volumes that are isotropic and exhibit high ...
Hui Xie +6 more
doaj +1 more source
IEEE Access, 2018 Simultaneous algebraic reconstruction technique (SART) is a well-known iterative method in X-ray computed tomography, which provides better image quality than analytical methods when dealing with incomplete or noisy data.
Shunli Zhang +5 more
doaj +1 more source
AN ECC-BASED ITERATIVE ALGORITHM FOR PHOTOMETRIC INVARIANT PROJECTIVE REGISTRATION [PDF]
International Journal on Artificial Intelligence Tools, 2009 The ability of an algorithm to accurately estimate the parameters of the geometric transformation which aligns two image profiles even in the presence of photometric distortions can be considered as a basic requirement in many computer vision applications. Projective transformations constitute a general class which includes as special cases the affine,
Evangelidis, Georgios +1 more
openaire +3 more sources
Advances in Multimedia, 2015 To improve the spatial resolution of reconstructed images/videos, this paper proposes a Superresolution (SR) reconstruction algorithm based on iterative back projection.
Yixiong Zhang +3 more
doaj +1 more source
Journal of Inequalities and Applications, 2017 In this paper, we suggest and analyze a new system of extended regularized nonconvex variational inequalities and prove the equivalence between the aforesaid system and a fixed point problem.
Ying Zhao, Luoyi Shi, Rudong Chen
doaj +1 more source
Bilateral back-projection for single image super resolution [PDF]
, 2007 In this paper, a novel algorithm for single image super resolution is proposed. Back-projection [1] can minimize the reconstruction error with an efficient iterative procedure.
Mei Han +3 more
core +3 more sources