文件名称:New-edge-directed-interpolationNEDI
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新边缘导向算法,算法的原理介绍以及实现,以及在去马赛克方面的应用-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
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