Morlet Wavelet transformed holograms for numerical adaptive view-based reconstruction

Kartik Viswanathan (1, 2) , Patrick Gioia (2) , Luce Morin (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 Orange Labs R&D [Rennes]

We provide an efficient method of using Morlet wavelets for transforming a hologram and reconstructing parts of a scene based on the position of viewer by using a sparse set of Morlet transformed coefficients. We provide a design of a Morlet wavelet and explain an efficient discretization method for the application of view-dependent representation systems. Results are provided based on the numerical reconstruction, and it is shown that view- dependent representation along with Morlet wavelets form a good starting step for compressing holographic data for next generation 3DTV applications.

Domaines: Traitement du signal et de l'image [eess.SP]

Kartik Viswanathan, Patrick Gioia, Luce Morin. Morlet Wavelet transformed holograms for numerical adaptive view-based reconstruction. Proc. SPIE 9216, Optics and Photonics for Information Processing VIII, 92160G (19 September 2014), Aug 2014, San Diego, United States. ⟨hal-01115531⟩