Mix-and-Match Holography
for Diffractive Displays

Yifan (Evan) Peng, Xiong Dun, Qilin Sun, Wolfgang Heidrich
A project collaborated with The University of British Columbia (UBC), accepted to ACM SIGGRAPH Asia 2017

Overview of mix-and-match holography. We computationally design pairs of diffractive optical elements that encode multiple holograms or target images under different geometric alignments or DOE pairings (left). By changing the geometric alignment or pairing different DOEs, the individual encoded holograms can be de-multiplexed. Illumination with a pre-determined lighting condition produces the corresponding target image (right), that can be generalized in a wide range of scenarios. The design process makes use of a combination of iterative phase retrieval methods and complex matrix factorization.


Computational caustics and light steering displays offer a wide range of interesting applications, ranging from art works and architectural installations to energy efficient HDR projection. In this work we expand on this concept by encoding several caustic designs into pairs of front and rear phase-distorting surfaces. Different target holograms can be decoded by mixing and matching different front and rear surfaces under specific geometric alignments. Our approach, which we call mix-and-match holography, is made possible by moving from a refractive caustic image formation process to a diffractive, holographic one. This provides the extra bandwidth that is required to multiplex several images into pairing surfaces. We derive a detailed image formation model for the setting of diffractive displays, as well as a multiplexing method based on a combination of phase retrieval methods and complex matrix factorization. We demonstrate several application scenarios in both simulation and physical prototypes.

Paper and supplementary


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supplementary: Appearing soon! 


video: Appearing soon! 

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