Refocusing of defocused images using SAR2 algorithm
Autor: | Christopher F. Barnes, Jehanzeb Burki |
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Rok vydání: | 2007 |
Předmět: |
Diffraction
Point spread function Rectangular aperture Aperture Machine vision business.industry Computer science Matched filter Gaussian Fourier optics Physics::Optics Image processing Image segmentation Fraunhofer diffraction Edge detection symbols.namesake symbols Computer vision Artificial intelligence Image sensor business Gaussian process Algorithm |
Zdroj: | SPIE Proceedings. |
ISSN: | 0277-786X |
Popis: | This paper utilizes the methodology of SAR2 algorithm, a two dimensional variant of the ω-k algorithm, to refocus out-of-focus images. Refocusing of images may be necessary in machine vision as a preprocessing step before edge detection or image segmentation in the imaging and manipulation of 3D objects. The SAR2 algorithm generates a complex amplitude distribution and the corresponding point spread function in a manner similar to Fraunhofer diffraction distribution model and its point spread function as seen in Fourier optics. The matched filter utilized in the SAR2 algorithm has a focus-in-altitude interpretation and may be varied to increase or decrease the radius of out-of-focus blur associated with a particular point spread function of scatterers of various heights. This paper demonstrates focusing of a line object L={1 : x=y;-≤x≤63; -64≤y≤63}. Although a rectangular aperture is used in the refocusing process, other apertures may also be used such as circular or Gaussian. |
Databáze: | OpenAIRE |
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