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DTSTAMP:20250110T023312Z
LOCATION:Hall B5 (2)\, B Block\, Level 5
DTSTART;TZID=Asia/Tokyo:20241204T144500
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UID:siggraphasia_SIGGRAPH Asia 2024_sess119_papers_689@linklings.com
SUMMARY:End-to-End Hybrid Refractive-Diffractive Lens Design with Differen
 tiable Ray-Wave Model
DESCRIPTION:Technical Papers\n\nXinge Yang and Matheus Souza (King Abdulla
 h University of Science and Technology (KAUST)); Kunyi Wang (King Abdullah
  University of Science and Technology (KAUST), University of British Colum
 bia); Praneeth Chakravarthula (University of North Carolina at Chapel Hill
  (UNC)); and Qiang Fu and Wolfgang Heidrich (King Abdullah University of S
 cience and Technology (KAUST))\n\nHybrid refractive-diffractive lenses com
 bine the light efficiency of refractive lenses with the information encodi
 ng power of diffractive optical elements (DOE), showing great potential as
  the next generation of imaging systems. However, accurately simulating su
 ch hybrid designs is generally difficult, and in particular, there are no 
 existing differentiable image formation models for hybrid lenses with suff
 icient accuracy. \n\nIn this work, we propose a new hybrid ray-tracing and
  wave-propagation (ray-wave) model for accurate simulation of both optical
  aberrations and diffractive phase modulation, where the DOE is placed bet
 ween the last refractive surface and the image sensor, i.e. away from the 
 Fourier plane that is often used as a DOE position. The proposed ray-wave 
 model is fully differentiable, enabling gradient back-propagation for end-
 to-end co-design of refractive-diffractive lens optimization and the image
  reconstruction network. We validate the accuracy of the proposed model by
  comparing the simulated point spread functions (PSFs) with theoretical re
 sults, as well as simulation experiments that show our model to be more ac
 curate than solutions implemented in commercial software packages like Zem
 ax. We demonstrate the effectiveness of the proposed model through real-wo
 rld experiments and show significant improvements in both aberration corre
 ction and extended depth-of-field (EDoF) imaging. We believe the proposed 
 model will motivate further investigation into a wide range of application
 s in computational imaging, computational photography, and advanced optica
 l design.\n\nRegistration Category: Full Access, Full Access Supporter\n\n
 Language Format: English Language\n\nSession Chair: Qi Sun (New York Unive
 rsity)
URL:https://asia.siggraph.org/2024/program/?id=papers_689&sess=sess119
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