Virtual Focus and Depth Estimation From Defocused Video Sequences

In this paper, we present a novel method for virtual focus and object depth estimation from defocused video captured by a moving camera. We use the term virtual focus to refer to a new approach for producing in-focus image sequences by processing blurred videos captured by out-of-focus cameras. Our...

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Veröffentlicht in:	IEEE transactions on image processing 2010-03, Vol.19 (3), p.668-679
Hauptverfasser:	Junlan Yang, Schonfeld, D.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical models Applied sciences Blurred Cameras Computational modeling Computer simulation Depth estimation depth-from-defocus Design for disassembly Error analysis Exact sciences and technology Focusing Image processing Image reconstruction Image sequences Information, signal and communications theory Mathematical models Signal processing Telecommunications and information theory Video sequences virtual focus
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