TY - GEN
T1 - The diffractive Achromat full spectrum computational imaging with diffractive optics
AU - Peng, Yifan
AU - Fu, Qiang
AU - Heide, Felix
AU - Heidrich, Wolfgang
N1 - Funding Information:
This work was detailed as a SIGGRAPH technical paper [Peng et al. 2016], and supported by King Abdullah University of Science and Technology (KAUST) baseline funding, KAUST Advanced Nanofabrication Imaging and Characterization Core Lab, and a Doctoral 4-Year Fellowship from The University of British Columbia (UBC). Q.Fu is now at ShanghaiTech University.
Publisher Copyright:
© 2016 ACM. VR Meets PR 2016, December 05-08, 2016.
PY - 2016/11/28
Y1 - 2016/11/28
N2 - Diffractive optical elements (DOEs) are promising in computational imaging because they can drastically reduce the size and weight of imaging devices compared to their refractive counterparts. However, the inherent strong dispersion limits their use in full spectrum imaging, causing unacceptable loss of color fidelity. In particular, metamerism introduces a data dependency in the image blur, which has been neglected in computational imaging methods. We introduce both a diffractive achromat based on computational optimization, as well as a corresponding cross-scale algorithm for correction of residual aberrations. The height profile of a diffractive lens is optimized to balance the focusing contributions of different wavelengths. The nearly identical spectral point spread functions (PSFs) create approximately spectrally invariant blur kernels. This property guarantees good color preservation and facilitates correction of residual aberrations in our fast two-step deconvolution without additional color priors. We demonstrate a diffractive achromat on a 0.5mm ultrathin substrate, with producing high color fidelity and better image quality in full visible spectrum.
AB - Diffractive optical elements (DOEs) are promising in computational imaging because they can drastically reduce the size and weight of imaging devices compared to their refractive counterparts. However, the inherent strong dispersion limits their use in full spectrum imaging, causing unacceptable loss of color fidelity. In particular, metamerism introduces a data dependency in the image blur, which has been neglected in computational imaging methods. We introduce both a diffractive achromat based on computational optimization, as well as a corresponding cross-scale algorithm for correction of residual aberrations. The height profile of a diffractive lens is optimized to balance the focusing contributions of different wavelengths. The nearly identical spectral point spread functions (PSFs) create approximately spectrally invariant blur kernels. This property guarantees good color preservation and facilitates correction of residual aberrations in our fast two-step deconvolution without additional color priors. We demonstrate a diffractive achromat on a 0.5mm ultrathin substrate, with producing high color fidelity and better image quality in full visible spectrum.
KW - Achromatic
KW - Computational imaging
KW - DOE
KW - Ultrathin
UR - http://www.scopus.com/inward/record.url?scp=85006925549&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006925549&partnerID=8YFLogxK
U2 - 10.1145/2992138.2992145
DO - 10.1145/2992138.2992145
M3 - Conference contribution
AN - SCOPUS:85006925549
T3 - SA 2016 - SIGGRAPH ASIA 2016 Virtual Reality Meets Physical Reality: Modelling and Simulating Virtual Humans and Environments
BT - SA 2016 - SIGGRAPH ASIA 2016 Virtual Reality Meets Physical Reality
PB - Association for Computing Machinery, Inc
T2 - 2016 SIGGRAPH ASIA Virtual Reality Meets Physical Reality: Modelling and Simulating Virtual Humans and Environments, SA 2016
Y2 - 5 December 2016 through 8 December 2016
ER -