Please use this identifier to cite or link to this item:
|Title:||Defocus map estimation from a single image|
|Authors:||Zhuo, S. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 21, 2018
WEB OF SCIENCETM
checked on Jan 16, 2018
checked on Feb 18, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.