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UID:siggraphasia_SIGGRAPH Asia 2024_sess223_papers_689@linklings.com
SUMMARY:End-to-End Hybrid Refractive-Diffractive Lens Design with Differen
 tiable Ray-Wave Model
DESCRIPTION:Key Events, Technical Papers\n\nXinge Yang and Matheus Souza (
 King Abdullah University of Science and Technology (KAUST)); Kunyi Wang (K
 ing Abdullah University of Science and Technology (KAUST), University of B
 ritish Columbia); Praneeth Chakravarthula (University of North Carolina at
  Chapel Hill (UNC)); and Qiang Fu and Wolfgang Heidrich (King Abdullah Uni
 versity of Science and Technology (KAUST))\n\nHybrid refractive-diffractiv
 e lenses combine the light efficiency of refractive lenses with the inform
 ation encoding power of diffractive optical elements (DOE), showing great 
 potential as the next generation of imaging systems. However, accurately s
 imulating such hybrid designs is generally difficult, and in particular, t
 here are no existing differentiable image formation models for hybrid lens
 es with sufficient 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 i
 s placed between the last refractive surface and the image sensor, i.e. aw
 ay from the Fourier plane that is often used as a DOE position. The propos
 ed ray-wave model is fully differentiable, enabling gradient back-propagat
 ion for end-to-end co-design of refractive-diffractive lens optimization a
 nd the image reconstruction network. We validate the accuracy of the propo
 sed model by comparing the simulated point spread functions (PSFs) with th
 eoretical results, as well as simulation experiments that show our model t
 o be more accurate than solutions implemented in commercial software packa
 ges like Zemax. We demonstrate the effectiveness of the proposed model thr
 ough real-world experiments and show significant improvements in both aber
 ration correction and extended depth-of-field (EDoF) imaging. We believe t
 he proposed model will motivate further investigation into a wide range of
  applications in computational imaging, computational photography, and adv
 anced optical design.\n\nRegistration Category: Enhanced Access, Full Acce
 ss, Full Access Supporter\n\nLanguage Format: English Language
URL:https://asia.siggraph.org/2024/program/?id=papers_689&sess=sess223
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