Punching holes in light: recent progress in single-shot coded-aperture optical imaging
J Liang - Reports on Progress in Physics, 2020 - iopscience.iop.org
Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …
optical signal in one exposure and then recovers the scene via computational image …
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 …
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 …
Trilobite-inspired neural nanophotonic light-field camera with extreme depth-of-field
A unique bifocal compound eye visual system found in the now extinct trilobite, Dalmanitina
socialis, may enable them to be sensitive to the light-field information and simultaneously …
socialis, may enable them to be sensitive to the light-field information and simultaneously …
The light field camera: Extended depth of field, aliasing, and superresolution
Portable light field (LF) cameras have demonstrated capabilities beyond conventional
cameras. In a single snapshot, they enable digital image refocusing and 3D reconstruction …
cameras. In a single snapshot, they enable digital image refocusing and 3D reconstruction …
Deep defocus map estimation using domain adaptation
In this paper, we propose the first end-to-end convolutional neural network (CNN)
architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map …
architecture, Defocus Map Estimation Network (DMENet), for spatially varying defocus map …
Coded aperture pairs for depth from defocus
The classical approach to depth from defocus uses two images taken with circular apertures
of different sizes. We show in this paper that the use of a circular aperture severely restricts …
of different sizes. We show in this paper that the use of a circular aperture severely restricts …
Defocus map estimation and deblurring from a single dual-pixel image
We present a method that takes as input a single dual-pixel image, and simultaneously
estimates the image's defocus map---the amount of defocus blur at each pixel---and …
estimates the image's defocus map---the amount of defocus blur at each pixel---and …
Coded aperture pairs for depth from defocus and defocus deblurring
The classical approach to depth from defocus (DFD) uses lenses with circular apertures for
image capturing. We show in this paper that the use of a circular aperture severely restricts …
image capturing. We show in this paper that the use of a circular aperture severely restricts …
Computational cameras: convergence of optics and processing
A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …
that cannot be captured with traditional cameras. In the last decade, computational imaging …