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A strong adaptable autofocusing approach of off-axis digital holography

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Abstract

In this paper, we present an innovative autofocusing criterion for the reconstruction of digital holograms. This criterion has extremely great adaptability under different quality conditions of holograms. We focus on the existing problem of mean value drifting found in previous published methods and design our new approach to solve it. Unlike the fact that the previous methods perform well only with high quality holograms, our method is effective for both high and low quality holograms. Even for hologram degraded by destructive interference, our method still performs well. This method helps to automatically determine the precise reconstructed distance; and we are sure that in the future this technology can be brought out of the lab environment into real world applications.

© 2015 Optical Society of America

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