2D and 3D image localization, compression and reconstruction using new hybrid moments

• Published in: Multidimensional systems and signal processing Vol. 33; no. 3; pp. 769 - 806
• Main Authors: Tahiri, Mohamed Amine, Karmouni, Hicham, Sayyouri, Mhamed, Qjidaa, Hassan
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2022; Springer Nature B.V
• Subjects: Artificial Intelligence; Circuits and Systems; Electrical Engineering; Engineering; Image compression; Image reconstruction; Localization; Mathematical analysis; Polynomials; Signal,Image and Speech Processing; Three dimensional imaging; Krawtchouk polynomials; Image localization; Image compression; Hahn polynomials; Image reconstruction; Hybrid polynomials

In this article, we will present a new set of hybrid polynomials and their corresponding moments, with a view to using them for the localization, compression and reconstruction of 2D and 3D images. These polynomials are formed from the Hahn and Krawtchouk polynomials. The process of calculating thes...