EconStor >
Europa-Universität Viadrina Frankfurt (Oder) >
Wirtschaftswissenschaftliche Fakultät, Europa-Universität Viadrina >
Diskussionspapiere, Wirtschaftswissenschaftliche Fakultät, Europa-Universität Viadrina  >

Please use this identifier to cite or link to this item:
Title:Local entropy based image reconstruction PDF Logo
Authors:Croonenbroeck, Carsten
Issue Date:2012
Series/Report no.:Discussion paper // European University Viadrina, Department of Business Administration and Economics 312
Abstract:This article presents a local entropy based image reconstruction algorithm that performs quite well in cases where there is distortion in an image. If the wanted image information is still available but distributed over two or more distinct images, the algorithm can collect the required information from the set of the images given. Instead of inferring pixel data information from the remainder of one single image, the algorithm provides a decision rule on what information from which one of the set of given images to actually use in order to create a new, (ideally) distortionfree image.
Document Type:Working Paper
Appears in Collections:Diskussionspapiere, Wirtschaftswissenschaftliche Fakultät, Europa-Universität Viadrina

Files in This Item:
File Description SizeFormat
685278344.pdf2.92 MBAdobe PDF
No. of Downloads: Counter Stats
Download bibliographical data as: BibTeX
Share on:

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.