Automatic Localized Deblurring in Digital Images

This paper suggests a new approach for automatic selective deblurring of the blurred regions in an image. We have evaluated the degree of blurness (ß) at the edges and applied the deblurring algorithm where ß is significantly large. Blurring increases the width of the edges and the original gray level values of the pixels are lost. We have formulated the deblurring algorithm based on the edge direction and on linear interpolation which assigns gray level values to the pixels in the selected blurred regions.