Phase de-Noising in Digital Holography Using KSVD Approaches
Résumé
We present a study of Kernel Singular Value Decomposition Based (KSVD) based algorithm to de-noise wrapped phase maps in digital holography interferometry. We focus on the adaptation of this approach to reduce decorrelation speckle noise.