Related DatabasesWeb of Science You must be logged in with an active subscription to view this.Article DataHistorySubmitted: 16 July 2020Accepted: 13 2021Published online: 21 October 2021Keywordsimage reconstruction, nonconvex nonsmooth optimization, learnable optimization algorithm, deep learningAMS Subject Headings90C26, 65K05, 65K10, 68U10Publication DataISSN (online): 1936-4954Publisher: So...

The paper presents the improved FCDI plasma equilibrium reconstruction algorithm implemented at Globus-M2 tokamak. has been to be able operate in real time. FCDI-FF (Fixed Filaments) operation mode was added, which is modeled by current filaments fixed positions. New user interface for displays reconstructed separatrix and contours of internal magnetic surfaces, poloidal flux distribution, grap...

Perceptual coding should take full advantage of the results from human visual system (HVS) studies. In this paper, we exploit an image reconstruction algorithm, which can simply and reliably represent images using regional shape and texture information and effectually eliminate perceptual redundancy. But real-time application of the algorithm is limited due to its inherent complex and intensive...

Parallel projection based Single Photon Emission Computed Tomography (SPECT) is one of the most widely used nuclear imaging technique even nowadays. Serious artefacts are produced in the reconstructed images due to the non-homogeneous attenuation medium and the distance dependent spatial resolution (DDSR) of the parallel imaging. Effective non-uniform attenuation correction and DDSR reduction p...

The fly algorithm is a strategy employed for 3D reconstruction of scenes, which employs the genetic algorithms and stereovision principles to determine clusters of points corresponding to different objects present in scene. The obtained reconstruction is partial, but enough to recognize obstacles in the robot space work. This 3D reconstruction strategy also allows to know the dimensions of the ...

We propose a systematic method for constructing a sparse data reconstruction algorithm in compressed sensing at a relatively low computational cost for general observation matrix. It is known that the cost of l1-norm minimization using a standard linear programming algorithm is O(N). We show that this cost can be reduced to O(N) by applying the approach of posterior maximization. Furthermore, i...

The classical Kaczmarz’s method, which is the basis for many Algebraic Reconstruction Techniques (ART), is very popular in the field of image reconstruction. However, this algorithm gives only satisfactory results for consistent data. For inconsistent data, which is the case in practice, the algorithm has some problems with respect to convergence. In this master’s thesis, we formulated the reco...

The digital holography has immense potential related to many applications of science and engineering. It has many advantages compared to conventional holography i.e. characterization of online dynamic phenomena and imaging in small scale microscopic systems. However, its primary limitation is the size of sensors and number of sensors compared to the conventional holographic plate. The critical ...

As is well known that sensing and measuring the weld pool surface is very important to design intelligent welding machines which is able to imitate a skilled human welder who can choose suitable welding parameters. Therefore, in this paper, we concentrate the problem of weld pool surface 3D reconstruction, which is a key issue in intelligent welding machines development. Firstly, the framework ...