This article is cited in 2 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Parameterized interpolation for fusion of multidimensional signals of various resolutions

M. V. Gashnikov<sup>ab

a</sup> Samara National Research University, 443086, Samara, Russia, Moskovskoye Shosse 34
^b IPSI RAS – Branch of the FSRC "Crystallography and Photonics" RAS, 443001, Samara, Russia, Molodogvardeyskaya 151

Abstract: Parameterized interpolation algorithms are adapted to fusion of multidimensional signals of various resolutions. Interpolating functions, switching rules for them and local features are specified, based on which the interpolating function is selected at each point of the signal. Parameterized interpolation algorithms are optimized based on minimizing the interpolation error. The recurrent interpolator optimization scheme is considered for the situation of inaccessibility of interpolated samples at the stage of setting up the interpolation procedure. Computational experiments are carried out to study the proposed interpolators for fusion of real multidimensional signals of various types. It is experimentally confirmed that the use of parameterized interpolators allows one to increase the accuracy of signal fusion.

Keywords: signal fusion, multidimensional signal, signal resolution, interpolation, optimization.

Received: 03.02.2020
Accepted: 10.04.2020

DOI: 10.18287/2412-6179-CO-696