Correction of spatially varying image and video motion blur using a hybrid camera

YW Tai, H Du, MS Brown, S Lin - IEEE Transactions on Pattern …, 2009 - ieeexplore.ieee.org
We describe a novel approach to reduce spatially varying motion blur in video and images
using a hybrid camera system. A hybrid camera is a standard video camera that is coupled …

Flutter shutter video camera for compressive sensing of videos

J Holloway, AC Sankaranarayanan… - 2012 IEEE …, 2012 - ieeexplore.ieee.org
Video cameras are invariably bandwidth limited and this results in a trade-off between
spatial and temporal resolution. Advances in sensor manufacturing technology have …

Analysis of blur measure operators for single image blur segmentation

U Ali, MT Mahmood - Applied Sciences, 2018 - mdpi.com
Blur detection and segmentation for a single image without any prior information is a
challenging task. Numerous techniques for blur detection and segmentation have been …

Computational imaging on the electric grid

M Sheinin, YY Schechner… - Proceedings of the …, 2017 - openaccess.thecvf.com
Night beats with alternating current (AC) illumination. By passively sensing this beat, we
reveal new scene information which includes: the type of bulbs in the scene, the phases of …

Motion adaptive deblurring with single-photon cameras

T Seets, A Ingle, M Laurenzis… - Proceedings of the …, 2021 - openaccess.thecvf.com
Single-photon avalanche diodes (SPADs) are a rapidly developing image sensing
technology with extreme low-light sensitivity and picosecond timing resolution. These …

Invertible motion blur in video

A Agrawal, Y Xu, R Raskar - ACM SIGGRAPH 2009 papers, 2009 - dl.acm.org
We show that motion blur in successive video frames is invertible even if the point-spread
function (PSF) due to motion smear in a single photo is non-invertible. Blurred photos exhibit …

Robust image deblurring with an inaccurate blur kernel

H Ji, K Wang - IEEE Transactions on Image processing, 2011 - ieeexplore.ieee.org
Most existing nonblind image deblurring methods assume that the blur kernel is free of error.
However, it is often unavoidable in practice that the input blur kernel is erroneous to some …

Alanet: Adaptive latent attention network for joint video deblurring and interpolation

A Gupta, A Aich, AK Roy-Chowdhury - Proceedings of the 28th ACM …, 2020 - dl.acm.org
Existing works address the problem of generating high frame-rate sharp videos by
separately learning the frame deblurring and frame interpolation modules. Most of these …

When does computational imaging improve performance?

O Cossairt, M Gupta, SK Nayar - IEEE transactions on image …, 2012 - ieeexplore.ieee.org
A number of computational imaging techniques are introduced to improve image quality by
increasing light throughput. These techniques use optical coding to measure a stronger …

Real-time temporal shaping of high-speed video streams

M Fuchs, T Chen, O Wang, R Raskar, HP Seidel… - Computers & …, 2010 - Elsevier
Digital movie cameras only perform a discrete sampling of real-world imagery. While spatial
sampling effects are well studied in the literature, there has not been as much work in …