Unfiltered Holography | Optics Letters 2021

Manu Gopakumar, Jonghyun Kim, Suyeon Choi, Yifan (Evan) Peng, Gordon Wetzstein

An algorithmic framework for optimizing high diffraction orders without optical filtering to enable compact holographic displays.
 
 

ABSTRACT

Computer-generated holography suffers from high diffraction orders (HDOs) created from pixelated spatial light modulators, which must be optically filtered using bulky optics. In this work, we develop an algorithmic framework for optimizing HDOs without optical filtering to enable compact holographic displays. We devise a wave propagation model of HDOs and use it to optimize phase patterns, which allows HDOs to contribute to forming the image instead of creating artifacts. The proposed method significantly outperforms previous algorithms in an unfiltered holographic display prototype.

METHOD

Diagram of unfiltered holography setup. L1, collimation lens; P, polarizer; BS, beam splitter; L2-L3, 4f system; F, filter. The phase pattern, φ, displayed on the SLM produces a wavefront that propagates in free space, including high diffraction orders, at the target plane. For the filtering needed by prior works, a 4f system with a filter in the Fourier plane is placed.

 

FILES

  • Optics Letters Paper & Supplement (link)
  • Source Code and Data (coming soon)

 

CITATION

M. Gopakumar, J. Kim, S. Choi, Y. Peng, and G. Wetzstein, Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays, Opt. Lett. 46, 5822-5825 (2021)

BibTeX

@article{Gopakumar:21,
author = {Manu Gopakumar and Jonghyun Kim and Suyeon Choi and Yifan Peng and Gordon Wetzstein},
journal = {Opt. Lett.},
publisher = {OSA},
title = {Unfiltered holography: optimizing high diffraction orders without optical filtering for compact holographic displays},
volume = {46},
year = {2021}
}

RESULTS

Simulated unfiltered results. (Top) Natural scene exemplifying how the HOGD algorithm can effectively optimize phase patterns to conceal the energy and interference produced by the HDOs. (Bottom) Sparse resolution chart illustrating the challenge with hiding high-order copies in sparse scenes with high frequency content. Here we present the results compared with those of conventional SGD. Numbers indicate PSNR with respect to the target image.
Experimentally captured results on unfiltered holography setup using different CGH algorithms. DPM represents the double phase method, SGD represents the conventional stochastic gradient descent method, HOGD represents our high order gradient descent method, and CITL represents the camera-in-the-loop calibration. Numbers indicate PSNR with respect to the target image.

Related Projects

You may also be interested in related projects from our group on holographic near-eye displays:

  • Y. Peng et al. “Partially-Coherent Holography”, Science Advances 2021 (link)
  • S. Choi et al. “Neural 3D Holography”, ACM SIGGRAPH Asia 2021 (link)
  • S. Choi et al. “Michelson Holography”, Optica, 2021 (link)
  • Y. Peng et al. “Neural Holography”, ACM SIGGRAPH Asia 2020 (link)
  • N. Padmanaban et al. “Holographic Near-Eye Displays Based on Overlap-Add Stereograms”, ACM SIGGRAPH Asia 2019 (link)

Acknowledgements

This project was collaborated between Stanford and Nvidia and was supported in part by Ford (Alliance Project), NSF (award 1839974), and a PECASE award by the ARO.