AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES
Mikolaj Karpinski
mkarpinski@ath.bielsko.plUniversity in Bielsko-Biała, Department of Computer Science, Bielsko-Biała, Poland (Poland)
Nazarii Piontko
Ternopil Ivan Pul’uj National Technical University, Cathedra of Computer Science, Ternopil, Ukraine (Ukraine)
Volodymyr Karpinskyi
3D Scanners UK Ltd, the TechnoCentre, Coventry, United Kingdom (United Kingdom)
Abstract
Automatic identification method of the blur type is an important stage in automatic restoring and segmentation of partially blurred images.
This article describes automatic identification method of blurred images that also allows to estimate the blur angle parameter. This method contains five steps: 1) applying modified Sobel operator to the input image; 2) image cutting on perimeter in order to eliminate the negative effects occurred at the previous step; 3) construction sequentially blurred image’s versions from the step 2 with fixed radius; 4) similarity measure calculation of sequentially blurred image’s versions along with original image; 5) estimation of the criterion value. Method has been tested and has shown correct result in more than 90% of input images, and the average angle’s error does not exceed more than 8 degrees.
Keywords:
motion blur, image blurring, automatic identificationReferences
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Authors
Mikolaj Karpinskimkarpinski@ath.bielsko.pl
University in Bielsko-Biała, Department of Computer Science, Bielsko-Biała, Poland Poland
Authors
Nazarii PiontkoTernopil Ivan Pul’uj National Technical University, Cathedra of Computer Science, Ternopil, Ukraine Ukraine
Authors
Volodymyr Karpinskyi3D Scanners UK Ltd, the TechnoCentre, Coventry, United Kingdom United Kingdom
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