[HTML][HTML] Deep learning in optical metrology: a review

C Zuo, J Qian, S Feng, W Yin, Y Li, P Fan… - Light: Science & …, 2022 - nature.com
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …

Computational imaging

JN Mait, GW Euliss, RA Athale - Advances in Optics and Photonics, 2018 - opg.optica.org
We review advances in Computational Imaging that have occurred since the mid-1990s. The
advent of highly integrated platforms, such as the smartphone, has made the linkage …

Users are not the enemy

A Adams, MA Sasse - Communications of the ACM, 1999 - dl.acm.org
There is evidence that many password users do not comply with these suggested rules.
DeAlvare [1] found that once a password is chosen, a user is unlikely to change it until it has …

High-quality motion deblurring from a single image

Q Shan, J Jia, A Agarwala - Acm transactions on graphics (tog), 2008 - dl.acm.org
We present a new algorithm for removing motion blur from a single image. Our method
computes a deblurred image using a unified probabilistic model of both blur kernel …

Image and depth from a conventional camera with a coded aperture

A Levin, R Fergus, F Durand, WT Freeman - ACM transactions on …, 2007 - dl.acm.org
A conventional camera captures blurred versions of scene information away from the plane
of focus. Camera systems have been proposed that allow for recording all-focus images, or …

End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

V Sitzmann, S Diamond, Y Peng, X Dun… - ACM Transactions on …, 2018 - dl.acm.org
In typical cameras the optical system is designed first; once it is fixed, the parameters in the
image processing algorithm are tuned to get good image reproduction. In contrast to this …

Efficient and interpretable deep blind image deblurring via algorithm unrolling

Y Li, M Tofighi, J Geng, V Monga… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Blind image deblurring remains a topic of enduring interest. Learning based approaches,
especially those that employ neural networks have emerged to complement traditional …

Deep optics for single-shot high-dynamic-range imaging

CA Metzler, H Ikoma, Y Peng… - Proceedings of the …, 2020 - openaccess.thecvf.com
Abstract High-dynamic-range (HDR) imaging is crucial for many applications. Yet, acquiring
HDR images with a single shot remains a challenging problem. Whereas modern deep …

[PDF][PDF] Dappled photography: Mask enhanced cameras for heterodyned light fields and coded aperture refocusing

A Veeraraghavan, R Raskar, A Agrawal… - ACM Trans …, 2007 - www-ece.rice.edu
We describe a theoretical framework for reversibly modulating 4D light fields using an
attenuating mask in the optical path of a lens based camera. Based on this framework, we …

Coded aperture compressive temporal imaging

P Llull, X Liao, X Yuan, J Yang, D Kittle, L Carin… - Optics express, 2013 - opg.optica.org
Coded aperture compressive temporal imaging clickable element to expand a topic LOGIN OR
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