A New Method of Blurring and Deblurring Digital Images Using the Markov Basis
DOI:
https://doi.org/10.31642/JoKMC/2018/030103Keywords:
Markov basis., Kronecker Product, motion blur anddeblur, Weiner deconvolution, digital imagesAbstract
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.
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Copyright (c) 2016 Hind Rustum Mohammed, KawtherBasim Rasool al-dbag, Husein Hadi Abbass
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