Image analysis – Image enhancement or restoration – Focus measuring or adjusting
Reexamination Certificate
2011-04-26
2011-04-26
Mariam, Daniel G (Department: 2624)
Image analysis
Image enhancement or restoration
Focus measuring or adjusting
C382S215000
Reexamination Certificate
active
07933464
ABSTRACT:
A scene-based non-uniformity correction method super-resolution for eliminating fixed pattern noise in a video having a plurality of input images is disclosed, comprising the steps of warping each of the plurality of images with respect to a reference image to obtain a warped set of images; performing one of averaging and deblurring on the warped set of images to obtain an initial estimate of a reference true scene frame; warping the initial estimate of the reference true scene frame with respect to each of the plurality of images to obtain a set of estimated true signal images; performing a least square fit algorithm to estimate a gain image and an offset image given the set of estimated true signal images; applying the estimated gain image and estimated offset image to the plurality of images to obtain a clean set of images; and applying a super-resolution algorithm to the clean set of images to obtain a higher resolution version of the reference true scene frame.
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Bergen, J., Anadan, P., Hanna, K., R. Hingorani, “Hierarchical Model-Based Motion Estimation,” Proc. European Conf. Comp. Vision, pp. 237-252 (1992).
M. Irani, S. Peleg, “Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency,” Journal of Visual Comm. and Image Repre., vol. 4, pp. 324-335 (1993).
Zhang Chao
Zhao Wenyl
Lowenstein & Sandler PC
Mariam Daniel G
SRI - International
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