Image analysis – Image transformation or preprocessing – Changing the image coordinates
Reexamination Certificate
2005-01-19
2009-10-13
Carter, Aaron W (Department: 2624)
Image analysis
Image transformation or preprocessing
Changing the image coordinates
C382S280000
Reexamination Certificate
active
07602997
ABSTRACT:
This invention presents a super-resolution image reconstruction from a sequence of aliased imagery. The sub-pixel shifts (displacement) among the images are unknown due to uncontrolled natural jitter of the imager. A correlation method is utilized to estimate sub-pixel shifts between each low resolution aliased image with respect to a reference image. An error-energy reduction algorithm is derived to reconstruct the high-resolution alias-free output image. The main feature of this proposed error-energy reduction algorithm is that we treat the spatial samples from low-resolution images that possess unknown and irregular (uncontrolled) sub-pixel shifts as a set of constraints to populate an over-sampled (sampled above the desired output bandwidth) processing array. The estimated sub-pixel locations of these samples and their values constitute a spatial domain constraint. Furthermore, the bandwidth of the alias-free image (or the sensor imposed bandwidth) is the criterion used as a spatial frequency domain constraint on the over-sampled processing array.
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Anderson Lawrence E.
Bloor Stephen M.
Carter Aaron W
The United States of America as represented by the Secretary of
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