Improving light efficiency in multispectral imaging via complementary notch filters

Theresa Panther; Maximilian Schambach; Michael Heizmann

doi:10.1117/12.2592411

20 June 2021 Improving light efficiency in multispectral imaging via complementary notch filters

Theresa Panther, Maximilian Schambach, Michael Heizmann

Proceedings Volume 11787, Automated Visual Inspection and Machine Vision IV; 117870K (2021) https://doi.org/10.1117/12.2592411
Event: SPIE Optical Metrology, 2021, Online Only

Conference Poster

Abstract

We propose a novel multispectral imaging technique employing complementary notch filters instead of bandpass filters which are conventionally used in filter-based multispectral cameras. Therefore, only little power of the incoming photon signal is lost and thus the SNR of the multispectral data can be significantly improved. To validate the proposed approach, simulations of conventional bandpass filters as well as complementary notch filters are presented. To compare the resulting SNRs, the EMVA 1288 standard is adopted in such a way that it is applicable to notch filter-based multispectral cameras. It is found that the SNR can be significantly improved by using complementary filters instead of the conventional bandpass filters, especially at high spectral resolution.

Conference Presentation

Citation Download Citation

Theresa Panther, Maximilian Schambach, and Michael Heizmann "Improving light efficiency in multispectral imaging via complementary notch filters", Proc. SPIE 11787, Automated Visual Inspection and Machine Vision IV, 117870K (20 June 2021); https://doi.org/10.1117/12.2592411

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