Blurred image regions detection using wavelet-based histograms and SVM
Vladimir Kanchev, Krasimir Tonchev, Ognian L. Boumbarov · 2011
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.