EconPapers    
Economics at your fingertips  
 

Application of the Least Squares Solutions in Image Deblurring

Predrag S. Stanimirović, Igor Stojanović, Vasilios N. Katsikis, Dimitrios Pappas and Zoran Zdravev

Mathematical Problems in Engineering, 2015, vol. 2015, 1-18

Abstract:

A new method for the reconstruction of blurred digital images damaged by separable motion blur is established. The main attribute of the method is based on multiple applications of the least squares solutions of certain matrix equations which define the separable motion blur in conjunction with known image deconvolution techniques. The key feature of the proposed algorithms is reflected in the fact that they can be used only in symbiosis with other image restoration algorithms.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2015/298689.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2015/298689.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:298689

DOI: 10.1155/2015/298689

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().

 
Page updated 2025-03-19
Handle: RePEc:hin:jnlmpe:298689