19 January 2009 Reduction of motion blur for handheld captured images by joint stabilization and spatio-temporal denoising
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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.
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Alfio Castorina, Giuseppe Spampinato, Arcangelo Bruna, Alessandro Capra, "Reduction of motion blur for handheld captured images by joint stabilization and spatio-temporal denoising", Proc. SPIE 7250, Digital Photography V, 72500L (19 January 2009); doi: 10.1117/12.805587; https://doi.org/10.1117/12.805587
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