Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Optical implementation of the fractional Hilbert transform for two-dimensional objects

Not Accessible

Your library or personal account may give you access

Abstract

The classical Hilbert transform can be implemented optically as a spatial-filtering process, whereby half the Fourier spectrum is π-phase shifted. Recently the Hilbert transform was generalized. The generalized version, called the fractional Hilbert transform, is quite easy to implement optically if the input is one dimensional. Here we show how to implement the fractional Hilbert transform for two-dimensional inputs. Hence the new transform is now suitable for image processing.

© 1997 Optical Society of America

Full Article  |  PDF Article
More Like This
Analysis of the fractional Hilbert transform

Jeffrey A. Davis, Dylan E. McNamara, and Don M. Cottrell
Appl. Opt. 37(29) 6911-6913 (1998)

Scaled fractional Fourier transform and its optical implementation

Jianwen Hua, Liren Liu, and Guoqiang Li
Appl. Opt. 36(32) 8490-8492 (1997)

Optical implementations of two-dimensional fractional Fourier transforms and linear canonical transforms with arbitrary parameters

Aysegul Sahin, Haldun M. Ozaktas, and David Mendlovic
Appl. Opt. 37(11) 2130-2141 (1998)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (8)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (15)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.