Focused video estimation from defocused video sequences

Junlan Yang; Dan Schonfeld; Magdi Mohamed

doi:10.1117/12.766215

28 January 2008 Focused video estimation from defocused video sequences

Junlan Yang, Dan Schonfeld, Magdi Mohamed

Proceedings Volume 6822, Visual Communications and Image Processing 2008; 68220D (2008) https://doi.org/10.1117/12.766215
Event: Electronic Imaging, 2008, San Jose, California, United States

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.

Citation Download Citation

Junlan Yang, Dan Schonfeld, and Magdi Mohamed "Focused video estimation from defocused video sequences", Proc. SPIE 6822, Visual Communications and Image Processing 2008, 68220D (28 January 2008); https://doi.org/10.1117/12.766215

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