1999
DOI: 10.1364/ao.38.006205
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Image restoration from vibrating photographic systems

Abstract: Many photographic systems are located on moving platforms. Because of mechanical vibrations that exist on those platforms, the photographed image is distorted. To avoid those distortions requires that very complicated mechanical attenuators be used. We suggest an optoelectronic image-processing algorithm to overcome the distortions caused by such vibrations. The algorithm for different types of vibration is reformulated in an exact manner, as opposed to the reformulations of previously known calculations. Furt… Show more

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Cited by 4 publications
(3 citation statements)
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“…The prospect of controlled blurring for dose painting would greatly simplify the delivery analysis, allowing for a linear systems theory approach as is done with imaging (Stern and Kopeika 1999, Zalevsky et al 1999). The extent to which the moving compensator approximation used in Bortfeld et al (2002) is a valid description for dynamic IMRT with motion, and the extent that one is well away from the interference maxima, is also the extent to which a simple blurring transfer-function of the motion can be used for the whole delivery as was done for HT for the arc motion of a single beamlet about a projection (Kissick et al 2007).…”
Section: Discussionmentioning
confidence: 99%
“…The prospect of controlled blurring for dose painting would greatly simplify the delivery analysis, allowing for a linear systems theory approach as is done with imaging (Stern and Kopeika 1999, Zalevsky et al 1999). The extent to which the moving compensator approximation used in Bortfeld et al (2002) is a valid description for dynamic IMRT with motion, and the extent that one is well away from the interference maxima, is also the extent to which a simple blurring transfer-function of the motion can be used for the whole delivery as was done for HT for the arc motion of a single beamlet about a projection (Kissick et al 2007).…”
Section: Discussionmentioning
confidence: 99%
“…As described in Ref. 4 and as is explained in Sec. 3, a blocked temporal readout process is effective in expanding the spectral bandwidth of the vibration blurring function.…”
Section: Suggested Approachmentioning
confidence: 98%
“…2,3 Another approach is based on finding the zero-crossing of the captured spatial spectrum to determine the vibration parameters. 4 Other vibration restoration algorithms are iterative methods. One iterative algorithm is based on the method of projection onto convex sets ͑POCS͒.…”
Section: Introductionmentioning
confidence: 99%