Edge analyzing and defocus estimating of a single image

Defocus map estimation plays an important role in computer vision and computer graphics applications. For many defocus map estimation methods from a single image, the edge detection is very important for depth map estimation. In this paper, we show a novel method for defocus map estimation from a single image, and give a theoretical model of re-blurred. The method is based on the difference value (D-value) of Gaussian gradient. Simultaneously, the influence of different edge type on defocus map estimating was analyzed. Compared with the Zhuo´s[1] method, the results show that our method could work better on the evaluation of the texture sharpness.