Benner
أ.هند رستم شعبان ( أستاذ )
كلية علوم الحاسوب والرياضيات - الحاسوب
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A New Method of Blurring and Deblurring Digital Images Using the Markov Basis
بحث النوع:
علوم التخصص العام:
Husein Hadi Abbass اسم الناشر:
Hind Rustum Mohammed, Kawther Basim Rasool اسماء المساعدين:
Journal of Mathematics and Computer Science. الجهة الناشرة:
Volume (3) Issue (1),2016  
2016 سنة النشر:

الخلاصة

Abstract— 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. Keywords— Markov basis, Kronecker Product, motion blur and deblur, Weiner deconvolution; digital images.