Abstract
Face-centered orthorhombic (FCO) sampling can be implemented more easily on
CMOS image sensors than on other video acquisition devices. The sampling efficiency
of FCO is the highest among all three-dimensional (3D) sampling schemes. However,
interpolation of FCO-sampled data is inevitable in bridging human perception and
machine-vision algorithms. In this letter, the concept of motion compensation is
borrowed from deinterlacing, which displays interlaced videos on progressively
scanned devices. The combination of motion estimation based on intrafield
interpolated frames and motion-compensated interfield interpolation is found to
provide the best performance by evaluating different combinations of motion
estimation and interpolation.
© 2012 Chinese Optics Letters
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