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|Title:||Defocus map estimation from a single image|
|Authors:||Zhuo, S. |
|Citation:||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|
|Appears in Collections:||Staff Publications|
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