TY - JOUR AU - Karpinski, Mikolaj AU - Piontko, Nazarii AU - Karpinskyi, Volodymyr PY - 2015/03/31 Y2 - 2024/03/28 TI - AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES JF - Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska JA - IAPGOS VL - 5 IS - 1 SE - Articles DO - 10.5604/20830157.1148050 UR - https://ph.pollub.pl/index.php/iapgos/article/view/960 SP - 59-61 AB - <p>Automatic identification method of the blur type is an important stage in automatic restoring and segmentation of partially blurred images.<br>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.</p> ER -