Analyzing Spatially-varying Blur

Citation:

Chakrabarti A, Zickler T, Freeman WT. Analyzing Spatially-varying Blur, in IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR). San Francisco, CA; 2010.
czf_svb.pdf2.19 MB

Date Presented:

June 13-18

Abstract:

Blur is caused by a pixel receiving light from multiple scene points, and in many cases, such as object motion, the induced blur varies spatially across the image plane. However, the seemingly straight-forward task of estimating spatially-varying blur from a single image has proved hard to accomplish reliably. This work considers such blur and makes two contributions: a local blur cue that measures the likelihood of a small neighborhood being blurred by a candidate blur kernel; and an algorithm that, given an image, simultaneously selects a motion blur kernel and segments the region that it affects. The methods are shown to perform well on a diversity of images.

Project: http://www.eecs.harvard.edu/~ayanc/svblur/