AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES


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 identification

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Published : 2015-03-31


Karpinski, M., Piontko, N., & Karpinskyi, V. (2015). AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 5(1), 59-61. https://doi.org/10.5604/20830157.1148050

Mikolaj Karpinski  mkarpinski@ath.bielsko.pl
University 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