
Blurring and Deblurring Digital Images Using the Dihedral Group
Scholars' Press
Published on 20. March 2018
Book
Paperback/Softback
92 pages
978-3-330-65229-3 (ISBN)
Description
In this book, we introduce a new method of blurring and deblurring digital images using new filters that generated from Average filter using HB Markov basis. We call these filters HB-filters. These new filters cause a motion blur and remove it from the images. Also, we study the action of the Dihedral group on HB-filters to find another HB-filters that give another different types of blur by using the action of the largest subgroup of Dihedral group. We apply our method on gray and RGB (Lena, Baboon and Pepper) images with using the two formats (jpg. format) and (png. format). Finally, the enhanced images by HB-filters and other methods are compared like Average, Gaussian and Motion, by using two standard distortion measures; peak signal to noise ratio (PSNR) and Root mean square error (RMSE). The results and analyses showed that the HB-filters are better in PSNR and RMSE.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 7 mm
Weight
155 gr
ISBN-13
978-3-330-65229-3 (9783330652293)
Schweitzer Classification
Persons
Prof. Husein Hadi Abbass is the Dean Assistant post for Scientific Affairs in the Faculty of Computer Science and Mathematics University of Kufa - Iraq. He obtained Master's degree in applied mathematics from the Technology University in Iraq in 1995. He has publications in Algebra, MV-algebra, Image Processing, Algebraic Statistics, Fuzzy maths.