Coded strobing photography: Compressive sensing of high speed periodic videos

A Veeraraghavan, D Reddy… - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
We show that, via temporal modulation, one can observe and capture a high-speed periodic
video well beyond the abilities of a low-frame-rate camera. By strobing the exposure with …

Exploiting occlusion in non-line-of-sight active imaging

C Thrampoulidis, G Shulkind, F Xu… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Active non-line-of-sight imaging systems are of growing interest for diverse applications. The
most commonly proposed approaches to date rely on exploiting time-resolved …

Parametric blur estimation for blind restoration of natural images: Linear motion and out-of-focus

JP Oliveira, MAT Figueiredo… - IEEE Transactions on …, 2013 - ieeexplore.ieee.org
This paper presents a new method to estimate the parameters of two types of blurs, linear
uniform motion (approximated by a line characterized by angle and length) and out-of-focus …

Time-multiplexed coded aperture imaging: Learned coded aperture and pixel exposures for compressive imaging systems

E Vargas, JNP Martel, G Wetzstein… - Proceedings of the …, 2021 - openaccess.thecvf.com
Compressive imaging using coded apertures (CA) is a powerful technique that can be used
to recover depth, light fields, hyperspectral images and other quantities from a single …

Computational cameras: convergence of optics and processing

C Zhou, SK Nayar - IEEE Transactions on Image Processing, 2011 - ieeexplore.ieee.org
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 …

[BOOK][B] Space-time super-resolution from a single video

O Shahar, A Faktor, M Irani - 2011 - ieeexplore.ieee.org
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size.
Temporal SR aims to recover rapid dynamic events that occur faster than the video frame …

Motion-invariant photography

A Levin, P Sand, TS Cho, F Durand… - ACM Transactions on …, 2008 - dl.acm.org
Object motion during camera exposure often leads to noticeable blurring artifacts. Proper
elimination of this blur is challenging because the blur kernel is unknown, varies over the …

[BOOK][B] Image restoration

B Gunturk, X Li - 2018 - api.taylorfrancis.com
Image restoration refers to the recovery of an unknown true image from its degraded
measurement. The degradation may occur during image formation, transmission, and …

Motion blur identification from image gradients

H Ji, C Liu - 2008 IEEE Conference on Computer Vision and …, 2008 - ieeexplore.ieee.org
Restoration of a degraded image from motion blurring is highly dependent on the estimation
of the blurring kernel. Most of the existing motion deblurring techniques model the blurring …

Signal processing for time-of-flight imaging sensors: An introduction to inverse problems in computational 3-D imaging

A Bhandari, R Raskar - IEEE Signal Processing Magazine, 2016 - ieeexplore.ieee.org
Time-of-flight (ToF) sensors offer a cost-effective and realtime solution to the problem of
three-dimensional (3-D) imaging-a theme that has revolutionized our sceneunderstanding …