Applications of the linear canonical transform to digital image processing

被引：1

作者：

Goel, Navdeep ^{[1
]}

Gabarda, Salvador ^{[2
]}

机构：

[1] Punjabi Univ, Yadavindra Dept Engn, Guru Kashi Campus, Talwandi Sabo 151302, Punjab, India

[2] Inst Opt Daza Valdes CSIC, Serrano 121, Madrid 28006, Spain

来源：

JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION | 2022年 / 39卷 / 09期

关键词：

REPRESENTATION TRANSFORMATION; FRACTIONAL FOURIER; THEOREM; CLASSIFICATION;

D O I：

10.1364/JOSAA.465011

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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 performclassical 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. (c) 2022 Optica Publishing Group

引用

页码：1729 / 1738

页数：10

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