Title:
New-edge-directed-interpolationNEDI
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Description: This paper proposes an edge-directed interpolation
algorithm for natural images. The basic idea is to first estimate
local covariance coefficients a low-resolution image and
then use these covariance estimates to adapt the interpolation at
a higher resolution based on the geometric duality between the
low-resolution covariance and the high-resolution covariance. The
edge-directed property of covariance-based adaptation attributes
to its capability of tuning the interpolation coefficients to match
an arbitrarily oriented step edge. A hybrid approach of switching
between bilinear interpolation and covariance-based adaptive
interpolation is proposed to reduce the overall computational
complexity. Two important applications of the new interpolation
algorithm are studied: resolution enhancement of grayscale
images and reconstruction of color images CCD samples.
Simulation results demonstrate that our new interpolation
algorithm substantially improves the subjective quality
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New edge directed interpolationNEDI.pdf
