No-Reference Blur Strength Estimation Based on Spectral Analysis of Blurred Images

Hanhoon PARK  

IEICE TRANSACTIONS on Information and Systems   Vol.E98-D   No.3   pp.728-732
Publication Date: 2015/03/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2014EDL8175
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
no-reference,  blur estimation,  Fourier transform,  cumulative distribution function,  SVM,  

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In this letter, we propose a new no-reference blur estimation method in the frequency domain. It is based on computing the cumulative distribution function (CDF) of the Fourier transform spectrum of the blurred image and analyzing the relationship between its shape and the blur strength. From the analysis, we propose and evaluate six curve-shaped analytic metrics for estimating blur strength. Also, we employ an SVM-based learning scheme to improve the accuracy and robustness of the proposed metrics. In our experiments on Gaussian blurred images, one of the six metrics outperformed the others and the standard deviation values between 0 and 6 could be estimated with an estimation error of 0.31 on average.