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Image processing algorithms for compensation of spatially variant blurAndersson, Mathias January 2005 (has links)
<p>This report adresses the problem of software correction of spatially variant blur in digital images. The problem arises when the camera optics contains flaws, when the scene contains multiple moving objects with different relative motion or the camera itself is i.e. rotated. Compensation through deconvolving is impossible due to the shift-variance in the PSF hence alternative methods are required. There are a number of suggested methods published. This report evaluates two methods</p>
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Image processing algorithms for compensation of spatially variant blurAndersson, Mathias January 2005 (has links)
This report adresses the problem of software correction of spatially variant blur in digital images. The problem arises when the camera optics contains flaws, when the scene contains multiple moving objects with different relative motion or the camera itself is i.e. rotated. Compensation through deconvolving is impossible due to the shift-variance in the PSF hence alternative methods are required. There are a number of suggested methods published. This report evaluates two methods
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Focus Engineering with Spatially Variant Polarization for Nanometer Scale ApplicationsCHEN, WEIBIN 28 December 2009 (has links)
No description available.
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Mitigating atmospheric phase errors in SAL dataDepoy, Randy S., Jr. January 2020 (has links)
No description available.
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