Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.patcog.2011.03.009
Title: Defocus map estimation from a single image
Authors: Zhuo, S. 
Sim, T. 
Keywords: Defocus blur
Defocus magnification
Defocus map
Gaussian gradient
Image processing
Issue Date: 2011
Source: Zhuo, S., Sim, T. (2011). Defocus map estimation from a single image. Pattern Recognition 44 (9) : 1852-1858. ScholarBank@NUS Repository. https://doi.org/10.1016/j.patcog.2011.03.009
Abstract: In this paper, we address the challenging problem of recovering the defocus map from a single image. We present a simple yet effective approach to estimate the amount of spatially varying defocus blur at edge locations. The input defocused image is re-blurred using a Gaussian kernel and the defocus blur amount can be obtained from the ratio between the gradients of input and re-blurred images. By propagating the blur amount at edge locations to the entire image, a full defocus map can be obtained. Experimental results on synthetic and real images demonstrate the effectiveness of our method in providing a reliable estimation of the defocus map. © 2011 Elsevier Ltd. All rights reserved.
Source Title: Pattern Recognition
URI: http://scholarbank.nus.edu.sg/handle/10635/43365
ISSN: 00313203
DOI: 10.1016/j.patcog.2011.03.009
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