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Defocus map estimation from a single image
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DOI：10.1016/j.patcog.2011.03.009.png)
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Abstract
En 中文
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. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:
Image processing
Defocus map
Defocus blur
Gaussian gradient
Defocus magnification
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