AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES
Journal Title: Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska - Year 2015, Vol 5, Issue 1
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 calculationof 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.
Authors and Affiliations
Mikolaj Karpinski, Nazarii Piontko, Volodymyr Karpinskyi
Keywords
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- EP ID EP73071
- DOI 10.5604/20830157.1148050
- Views 107
- Downloads 0
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