Applying direct methods for digital image restoring

Stojanovic, Igor and Zdravev, Zoran and Stanimirovic, Predrag and Miladinovic, Marko and Cekerovski, Todor and Ljubotenska, Ana and Stojanov, Ivan (2014) Applying direct methods for digital image restoring. [Project]

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The idea behind this research is coming from the problems in the real world that the principal researcher has realized while working at the Customs Administration of the Republic of Macedonia, where recording the images and showing them is very common source of informations. Due the disadvantages of the procceses for capturing and recording, somethimes blurred images do not represent the identical version of captured scene. Image blurring is form of bandwidth attenuation of the original image that is a result of imperfection of the process that forms the image. The work that will be done at the area for image restoring (image deblurring/image deconvolution) is reconstructing and estimating the original image in regard to blurred image. Besides, when we talk about restoring we mean preforming the operation at the inverse image of the system’s imperfection for its forming. The goal to this project is using the mathematical model for process of the image blurring to develop efficient and confidential methods for digital image restoring. In the focus of the project will be the methods for removing the blur from image, caused by uniform linear movement, that are significant in the applications for removing the blur from the x-ray images, systems for automatic recognition of the registration plates, bar code images, LCD televisions and monitors etc. Nowdays, image restoring is subject of intensive researches in the industry and scientific institutions. The big multinationals companies as Samsung, Philips, Siemens and others are investing money in the scientific-researches from this area.

Item Type: Project
Subjects: Natural sciences > Computer and information sciences
Engineering and Technology > Electrical engineering, electronic engineering, information engineering
Divisions: Faculty of Computer Science
Depositing User: Igor Stojanovik
Date Deposited: 19 Aug 2014 12:40
Last Modified: 19 Aug 2014 12:40

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