Retinex Image Processing--Publications--SPIE 5108, Orlando, Florida
Conference
Feature visibility limits in the non-linear enhancement of turbid images
Daniel J. Jobson, Zia-ur Rahman, Glenn A. Woodell
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.
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