Adaptive Directional Window Selection for Edge-Directed Interpolation

In this paper, we present an adaptive directional window selection for the edge-directed interpolation. The new window selection can solve the problem of covariance mismatch in high frequency and texture regions. It makes use of a practical directional elliptic window which works according to the edge direction sliding along an edge and then subsequently chooses the best window evaluated by choosing the elliptic window which has the lowest Means Square Error (MSE). Experimental results show that by the proposed technique can generate a high quality interpolated image which is better than other edge directed interpolation approaches. Experimental results also provided on different images to justify the value of this approach at the end of the paper.