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Proceedings Paper

Reduction of motion blur for handheld captured images by joint stabilization and spatio-temporal denoising
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Paper Abstract

Despite the great advances that have been made in the field of digital photography and CMOS/CCD sensors, several sources of distortion continue to be responsible for image quality degradation. Among them, a great role is played by sensor noise and motion blur. Of course, longer exposure times usually lead to better image quality, but the change in the photocurrent over time, due to motion, can lead to motion blur effects. The proposed low-cost technique deals with the aforementioned problem using a multi-capture denoising algorithm, obtaining a good quality with sensible reduction of the motion blur effects.

Paper Details

Date Published: 19 January 2009
PDF: 10 pages
Proc. SPIE 7250, Digital Photography V, 72500L (19 January 2009); doi: 10.1117/12.805587
Show Author Affiliations
Alfio Castorina, STMicroelectronics (Italy)
Giuseppe Spampinato, STMicroelectronics (Italy)
Arcangelo Bruna, STMicroelectronics (Italy)
Alessandro Capra, STMicroelectronics (Italy)

Published in SPIE Proceedings Vol. 7250:
Digital Photography V
Brian G. Rodricks; Sabine E. Süsstrunk, Editor(s)

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