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