A framework for view-dependent hologram representation and adaptive reconstruction

In this paper, we present a framework for networked hologram adaptive transmission. Depending on the observer position, a subset of hologram data is transmitted and displayed. Wavelet decomposition and pruning of wavelet coefficients according to the user position allows local diffractive pattern extraction. The proposed framework has been validated on an experimental set-up involving a kinect sensor for viewer position estimation.