Feature visibility limits in the nonlinear enhancement of turbid images

Daniel J. Jobson; Zia-ur Rahman; Glenn A. Woodell

doi:10.1117/12.488842

8 August 2003 Feature visibility limits in the nonlinear enhancement of turbid images

Daniel J. Jobson, Zia-ur Rahman, Glenn A. Woodell

Author Affiliations +

Proceedings Volume 5108, Visual Information Processing XII; (2003) https://doi.org/10.1117/12.488842
Event: AeroSense 2003, 2003, Orlando, Florida, United States

Abstract

The advancement of non-linear processing methods for generic automatic clarification of turbid imagery has led us from extensions of entirely passive multiscale Retinex processing to a new framework of active measurement and control of the enhancement process called the Visual Servo. In the process of testing this new non-linear computational scheme, we have identified that feature visibility limits in the post-enhancement image now simplify to a single signal-to-noise figure of merit: a feature is visible if the feature-background signal difference is greater than the RMS noise level. In other words, a signal-to-noise limit of approximately unity constitutes a lower limit on feature visibility.

Citation Download Citation

Daniel J. Jobson, Zia-ur Rahman, and Glenn A. Woodell "Feature visibility limits in the nonlinear enhancement of turbid images", Proc. SPIE 5108, Visual Information Processing XII, (8 August 2003); https://doi.org/10.1117/12.488842

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