The capture (or synthesis) of digital holograms always creates hogels (the equivalent of pixels in imagery) that contain greyscale information. It is however well-known that – if the hogels are sufficiently numerous and dense – a binary pattern of hogels can also create a high-quality hologram after illumination with led or laser light.
This project/Master thesis consists in developing all software tools to automatically transform a greyscale hologram into one that contains binary hogels only, henceforth reducing the technological constraints during printing. This process is a typical iterative optimization problem (e.g. using genetic algorithms) with back-and-forth transformations (i.e. a bidirectional raytracing) between the hogels and the rendered hologram.

High performance (low execution time) and a strong mathematical study on convergence should also be considered for a variety of optimization approaches.

Prerequisites:

C++ and/or python, know-how in optical simulations and/or optimization problems is a plus (but not mandatory)

Keywords:

Holography, iterative optimizations, optical simulations

Promotor:

Prof. Gauthier LAFRUIT

Contact:

Gauthier Lafruit gauthier.lafruit@ulb.ac.be,

Sarah Fachada Sarah.Fernandes.Pinto.Fachada@ulb.ac.be