Local entropy based image reconstruction
AbstractThis 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. --
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics in its series Discussion Papers with number 312.
Date of creation: 2012
Date of revision:
Contact details of provider:
Postal: Grosse Scharrnstrasse 59, 15230 Frankfurt (Oder)
Phone: +49 (0)335 5534 2387
Fax: +49 (0)335 5534 2516
Web page: http://www.wiwi.euv-frankfurt-o.de/en/index.html
More information through EDIRC
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-02-20 (All new papers)
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (ZBW - German National Library of Economics).
If references are entirely missing, you can add them using this form.