Generalized Motion Blur Model ECE 558 - Final Paper Daniel

نویسنده

  • Daniel Kubacki
چکیده

Previously, Raskar proposed a method of transforming the frequency response of a traditional shutter through the use of coded exposure. This technique shaped the frequency spectrum to a broadband signal that preserved higher frequency information and thus made the deconvolution process more well posed. This paper presents a generalization of the motion blur kernel he used. Instead of requiring a fixed deconvolution kernel determined by the binary code used to capture the image, this kernel can be created corresponding to a blur of any size in any direction. Simulation results show that this 2-D filter exhibits traits predicted by Raskar, and application of this kernel to deconvolve real images has shown that it can produce sharper but noisier results.

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تاریخ انتشار 2009