A new method of blurring and deblurring digital images using the Markov basis

In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters. We used these filters to cause a motion blur and then deblurring affected images. Also, we study the enhanced i...

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Bibliographic Details
Published in:Journal of Kufa for Mathematics and Computer 2016-06, Vol.3 (1), p.13-21
Main Authors: Abbas, Husayn Hadi, al-Dbag, Kawthar Basim Rasul, Muhammad, Hind Rustum
Format: Article
Language:English
Subjects:
digital images
Kronecker Product
Markov basis
motion blur anddeblur
Weiner deconvolution
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Summary:In this paper, we introduce a new method of blurring and deblurring digital images using new filters generating from Average filter using HB Markov basis. We call these filters HB-filters. We used these filters to cause a motion blur and then deblurring affected images. Also, we study the enhanced images using HB-filters as compared to other methods like Average, Gaussian, and Motion. Results and analysis show that the HB-filters are better in peak signal to noise ratio (PSNR) and RMSE.
ISSN:2076-1171
2518-0010
DOI:10.31642/JoKMC/2018/030103