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Barun Singh

dblp:23/4308 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Image and video processing · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image restoration › image deblurring
blind deconvolution
0.112006
Removing camera shake from a single photograph · ACM Trans. Graph. 2006
Image and video processing › image stabilization
camera shake removal
0.112006
Removing camera shake from a single photograph · ACM Trans. Graph. 2006
Image and video processing › image restoration
image deblurring
0.112006
Removing camera shake from a single photograph · ACM Trans. Graph. 2006
Image and video processing
image restoration
0.012006
Removing camera shake from a single photograph · ACM Trans. Graph. 2006

Methods — techniques the papers use, named apart from their topics

spatial domain prior · 0.1blind deconvolution · 0.1
YearPublicationVenuePosition
2006 Removing camera shake from a single photograph
abstract
Camera shake during exposure leads to objectionable image blur and ruins many photographs. Conventional blind deconvolution methods typically assume frequency-domain constraints on images, or overly simplified parametric forms for the motion path during camera shake. Real camera motions can follow convoluted paths, and a spatial domain prior can better maintain visually salient image characteristics. We introduce a method to remove the effects of camera shake from seriously blurred images. The method assumes a uniform camera blur over the image and negligible in-plane camera rotation. In order to estimate the blur from the camera shake, the user must specify an image region without saturation effects. We show results for a variety of digital photographs taken from personal photo collections.
Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis, William T. Freeman
ACM Trans. Graph.2