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

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