Edge Width Estimation for Defocus Map from a Single Image

The paper presents a new edge width estimation method based on Gaussian edge model and unsharp mask analysis. The proposed method is accurate and robust to noise. Its effectiveness is demonstrated by its application for the problem of defocus map estimation from a single image. Sparse defocus map is constructed using edge detection algorithm followed by the proposed edge width estimation algorithm. Then full defocus map is obtained by propagating the blur amount at edge locations to the entire image. Experimental results show the effectiveness of the proposed method in providing a reliable estimation of the defocus map.

• Type: Journal
• Year: 2015
• Where: ACIVS
• Authors: Andrey V. Nasonov, Alexandra A. Nasonova, Andrey S. Krylov
• Keywords: ACIVS 2015, Computer Vision