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Proceedings Paper

Focused video estimation from defocused video sequences
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Paper Abstract

This paper proposes a novel technique for estimating focused video frames captured by an out-of-focus moving camera. It relies on the idea of Depth from Defocus (DFD), however overcomes the shortage of DFD by reforming the problem in a computer vision framework. It introduces a moving-camera scenario and explores the relationship between the camera motion and the resulting blur characteristics in captured images. This knowledge leads to a successful blur estimation and focused image estimation. The performance of this algorithm is demonstrated through error analysis and computer simulated experiments.

Paper Details

Date Published: 28 January 2008
PDF: 9 pages
Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220D (28 January 2008); doi: 10.1117/12.766215
Show Author Affiliations
Junlan Yang, Univ. of Illinois at Chicago (United States)
Dan Schonfeld, Univ. of Illinois at Chicago (United States)
Magdi Mohamed, Motorola Labs. (United States)


Published in SPIE Proceedings Vol. 6822:
Visual Communications and Image Processing 2008
William A. Pearlman; John W. Woods; Ligang Lu, Editor(s)

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