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30 March 2020 Accounting for the nonstationary correlated noise in digital holography (Conference Presentation)
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Abstract
In in-line digital holography, the background of the recorded images is sometimes much higher than the signal of interest. It can originates, for example, from the diffraction of dusts or fringes coming from multiple reflexions in the optical components. It is often correlated, nonstationary and not constant over time. Detecting a weak signal superimposed over such a background is challenging. Detection of the pattern then requires a statistical modeling of the background. In this work, spatial correlations are locally estimated based on several background images. A fast algorithm that computes detection maps is derived. The proposed approach is evaluated on images obtained from experimental data recorded with a holographic microscope.
Conference Presentation
© (2020) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Olivier Flasseur, Loïc Denis, Éric Thiébaut, Thomas Olivier, and Corinne Fournier "Accounting for the nonstationary correlated noise in digital holography (Conference Presentation)", Proc. SPIE 11351, Unconventional Optical Imaging II, 1135113 (30 March 2020); https://doi.org/10.1117/12.2559941
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