Abstract

This paper presents a comparison and ranking of image de-noising algorithms in the context of speckle noise in amplitude images from digital holography. In order to assess the evaluations, a database is constituted with experimental images extracted from 20 holograms acquired with a random illumination. Using the 20 amplitude images, 20 other images are computed in order to get images with increasing signal-to-noise ratio. For the evaluations, 34 de-noising algorithms were chosen considering their efficiency in image processing and digital holography. De-noising algorithms are ranked using RMSE, PSNR and Q index metrics.

© 2018 The Author(s)

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