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Blurring length estimation using ringing artifacts in a deblurred image

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4 Author(s)
Shuangxue Yang ; Sch. of Comput. Sci. & Inf., Guizhou Univ., Guiyang, China ; Hong Liu ; Benyong Liu ; Xiang Liao

The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing artifact amount is taken as the optimal estimation of the true blurring length. Experimental results show good performance of the proposed algorithm in motion blurring length estimation.

Published in:

Image Analysis and Signal Processing (IASP), 2011 International Conference on

Date of Conference:

21-23 Oct. 2011