Applications of the linear canonical transform to digital image processing

Autor:	Navdeep Goel, Salvador Gabarda
Rok vydání:	2022
Předmět:	Computer Vision and Pattern Recognition Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials
Zdroj:	Digital.CSIC. Repositorio Institucional del CSIC instname
ISSN:	1520-8532 1084-7529
DOI:	10.1364/josaa.465011
Popis:	10 pags., 5 figs., 2 tabs. In this paper, an existing approximation of discrete linear canonical transform (DLCT) is analyzed, and constraints are derived to fulfill some paramount properties as inversibility and additivity or the possibility to perform classical image operations in the frequency domain as image filtering. Giving some special values to the DLCT parameters and taking advantage of the division of the image spectrum in four zones of different significance, an application of image feature classifications is successfully investigated. Also, the required constraints are obtained to determine the suitability of the selected approximation when working with digital images
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a36966228ecbb8aad5870e055a00b4b https://doi.org/10.1364/josaa.465011 Zobrazit plný text záznamu