[HTML][HTML] Deep learning in optical metrology: a review
With the advances in scientific foundations and technological implementations, optical
metrology has become versatile problem-solving backbones in manufacturing, fundamental …
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 …
advent of highly integrated platforms, such as the smartphone, has made the linkage …
Users are not the enemy
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 …
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
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 …
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 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 …
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
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 …
image processing algorithm are tuned to get good image reproduction. In contrast to this …
Efficient and interpretable deep blind image deblurring via algorithm unrolling
Blind image deblurring remains a topic of enduring interest. Learning based approaches,
especially those that employ neural networks have emerged to complement traditional …
especially those that employ neural networks have emerged to complement traditional …
Deep optics for single-shot high-dynamic-range imaging
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 …
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
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 …
attenuating mask in the optical path of a lens based camera. Based on this framework, we …
Coded aperture compressive temporal imaging
Coded aperture compressive temporal imaging clickable element to expand a topic LOGIN OR
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