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 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

Related Articles

PROJEKT UKŁADU ELEKTRONIKI ODCZYTU FRONT-END DO POMIARU CZASU I ENERGII DLA PÓŁPRZEWODNIKOWYCH DETEKTORÓW PASKOWYCH

W niniejszym artykule został przedstawiony opis elektroniki front-end do pomiaru czasu interakcji i energii fotonu dedykowanej do odczytu dwustronnych detektorów paskowych, zaimplementowanej w technologii submikronowej U...

REMOTE MONITORING OF CO-FIRING FURNACES

This article deals with the software and hardware design of a measurement and logging system for two older co-firing furnaces PEO 601and PEO 602, which are still in use at the Department of Technologies in Electronics an...

SYSTEM FOR VEHICLE ROUTING PROBLEM ALGORITHMS ANALYSIS

Paper concerns the software system supporting the analysis of different cases of solving VRP by various algorithms. VRP has been characterised and application structure has been presented. Illustrative experimental resul...

MEASUREMENTS OF ELECTRICAL PROPERTIES OF NANOCOMPOSITE CONTAINING METALLIC ALLOY FeCoZr IN A PbZrTiO3 DIELECTRIC MATRIX

Here, the AC electrical properties measurements of (FeCoZr)x(PZT)(100-x) granular nanocomposites are studied. The work contains a preliminary analysis of the electrical parameters (capacitance Cp, loss coefficient tgδ, r...

DEVICE FOR STUDY OF DYNAMIC SURFACE TENSION OF AQUEOUS SURFACTANT SOLUTIONS

Theoretical bases of fixed spinning drop method for the study of dynamic interfacial tension of aqueous surfactant solutions on the border with other immiscible liquids in water are considered. The block diagram and appe...

Download PDF file
  • EP ID EP73071
  • DOI 10.5604/20830157.1148050
  • Views 85
  • Downloads 0

How To Cite

Mikolaj Karpinski, Nazarii Piontko, Volodymyr Karpinskyi (2015). AUTOMATIC IDENTIFICATION METHOD OF BLURRED IMAGES. Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska, 5(1), 59-61. https://europub.co.uk/articles/-A-73071