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Proceedings Paper

Defocus blur estimation from multi-scale gradients
Author(s): Futao Pi; Yi Zhang; Gang Lu; Baochuan Pang
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Paper Abstract

In this paper, we propose a simple yet effective method for estimating defocus blur of microscopy images. The defocus blur at each edge point is estimated directly from local gradient profiles. To reliably detect edges and estimate blur in noisy and blur images, the image gradient is computed at multiple scales. The defocus blur at an edge point is firstly computed by the gradient ratio between different scales and is then recomputed by estimating the variance of the Gaussian gradient profiles. The proposed method is robust to noise and edge mis-localization. Experimental results on synthetic and real microscopy images demonstrate the effectiveness of our method.

Paper Details

Date Published: 13 March 2013
PDF: 5 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 878309 (13 March 2013); doi: 10.1117/12.2012432
Show Author Affiliations
Futao Pi, Huazhong Univ. of Science and Technology (China)
Yi Zhang, Huazhong Univ. of Science and Technology (China)
Gang Lu, Huazhong Univ. of Science and Technology (China)
Baochuan Pang, Wuhan Landing Medical High-Tech Co., Ltd. (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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