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

Hanhoon PARK

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Summary :

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.

Publication
IEICE TRANSACTIONS on Information Vol.E98-D No.3 pp.728-732
Publication Date
2015/03/01
Publicized
2014/12/19
Online ISSN
1745-1361
DOI
10.1587/transinf.2014EDL8175
Type of Manuscript
LETTER
Category
Image Processing and Video Processing

Authors

Hanhoon PARK
  Pukyong National University

Keyword