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 …
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
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 …
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 …
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
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 …
to recover depth, light fields, hyperspectral images and other quantities from a single …
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 …
[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 …
Temporal SR aims to recover rapid dynamic events that occur faster than the video frame …
Motion-invariant photography
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 …
elimination of this blur is challenging because the blur kernel is unknown, varies over the …
[BOOK][B] Image restoration
Image restoration refers to the recovery of an unknown true image from its degraded
measurement. The degradation may occur during image formation, transmission, and …
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 …
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 …
three-dimensional (3-D) imaging-a theme that has revolutionized our sceneunderstanding …