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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.
Blurring and Deblurring Digital Images Using the Dihedral Group
Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.041204
Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 12, 2015.
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}
}
