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Blurred image regions detection using wavelet-based histograms and SVM

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3 Author(s)
Kanchev, V. ; Fac. of Telecommun., Tech. Univ. Sofia, Sofia, Bulgaria ; Tonchev, K. ; Boumbarov, O.

This paper presents an algorithm for detection and localization of blurred regions in images. The algorithm is based on discrimination of the gradient distributions between blurred and non-blurred image regions. For this purpose, global wavelet transform of Y component of the image is applied, and the obtained wavelet map is divided into overlapping patches. Then a trained probabilistic SVM classifier estimates the blur level of the patches on their wavelet gradient histograms and thereby probability map is constructed. Finally, we perform a more precise determination of borders of blur region based on estimated Laplace distribution of its wavelet coefficients.

Published in:

Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2011 IEEE 6th International Conference on  (Volume:1 )

Date of Conference:

15-17 Sept. 2011