Intelligent reduction of zero-order diffraction in Fourier optical systems

Yuexin Liu; Ruyan Guo; Francis T.S. Yu

doi:10.1117/1.2065407

1 October 2005 Intelligent reduction of zero-order diffraction in Fourier optical systems

Yuexin Liu, Ruyan Guo, Francis T.S. Yu

Author Affiliations +

Optical Engineering, Vol. 44, Issue 10, 103602 (October 2005). https://doi.org/10.1117/1.2065407

Abstract

A simple and intelligent technique of reducing the zero-order diffraction in an optical spectrographic processor is discussed and the corresponding nonbias optical architecture, by which spectrograms can indeed be obtained, is proposed. Reduction of zero-order diffraction in a Fourier optical system arises from the removal of the dc bias, which is usually needed when a conventional optical spectrographic processor is utilized. We have shown that discrimination sensitivity of the optical spectrograms is significantly enhanced and the dynamic range (DR) requirement for the spectrogram capturing device is also notably reduced due to the removal of the dc bias. In addition, energy utilization efficiency in the optical signal processing is drastically improved by our nonbias architecture. Simulated demonstration is provided.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Yuexin Liu, Ruyan Guo, and Francis T.S. Yu "Intelligent reduction of zero-order diffraction in Fourier optical systems," Optical Engineering 44(10), 103602 (1 October 2005). https://doi.org/10.1117/1.2065407

Published: 1 October 2005

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available