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

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

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