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DOI: 10.14569/IJARAI.2015.041204
PDF

Blurring and Deblurring Digital Images Using the Dihedral Group

Author 1: Husein Hadi Abbas Jassim
Author 2: Zahir M. Hussain
Author 3: Hind R.M Shaaban
Author 4: Kawther B.R. Al-dbag

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 12, 2015.

  • Abstract and Keywords
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Abstract: A new method of blurring and deblurring digital images is presented. The approach is based on using new filters generating from average filter and H-filters using the action of the dihedral group. These filters are called HB-filters; used to cause a motion blur and then deblurring affected images. Also, enhancing images using HB-filters is presented 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: Dihedral group; Kronecker Product; motion blur and deblur; digital image

Husein Hadi Abbas Jassim, Zahir M. Hussain, Hind R.M Shaaban and Kawther B.R. Al-dbag. “Blurring and Deblurring Digital Images Using the Dihedral Group”. International Journal of Advanced Research in Artificial Intelligence (IJARAI) 4.12 (2015). http://dx.doi.org/10.14569/IJARAI.2015.041204

@article{Jassim2015,
title = {Blurring and Deblurring Digital Images Using the Dihedral Group},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.041204},
url = {http://dx.doi.org/10.14569/IJARAI.2015.041204},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {12},
author = {Husein Hadi Abbas Jassim and Zahir M. Hussain and Hind R.M Shaaban and Kawther B.R. Al-dbag}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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