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International Journal of Innovation and Applied Studies
ISSN: 2028-9324     CODEN: IJIABO     OCLC Number: 828807274     ZDB-ID: 2703985-7
 
 
Monday 18 November 2019

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  Call for Papers - November 2019     |     Now IJIAS is indexed in EBSCO, ResearchGate, ProQuest, Chemical Abstracts Service, Index Copernicus, IET Inspec Direct, Ulrichs Web, Google Scholar, CAS Abstracts, J-Gate, UDL Library, CiteSeerX, WorldCat, Scirus, Research Bible and getCited, etc.  
 
 
 

Generating Blurred Dataset with Different Blurriness Degree Variances


Volume 18, Issue 3, November 2016, Pages 880–884

 Generating Blurred Dataset with Different Blurriness Degree Variances

Nada Jasim Habeeb1

1 Technical College of Management, Middle Technical University, Iraq

Original language: English

Received 20 July 2016

Copyright © 2016 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract


Many researchers in image and video processing field test the effectiveness of the proposed or existing methods depended on the assumption that the brightness or illumination in scene is static among all sequenced images or frames. So they used synthetic dataset with frames contain approximately static blurriness degrees. This is not practical in the real world. In this paper, a method of generating synthetic blurred video dataset with frames containing different blur variances to solve this problem. The result showed that the proposed algorithm has ability to produce useful blurred dataset with having different blurriness values.

Author Keywords: Blur, synthetic dataset, random number generator, averaging filter.


How to Cite this Article


Nada Jasim Habeeb, “Generating Blurred Dataset with Different Blurriness Degree Variances,” International Journal of Innovation and Applied Studies, vol. 18, no. 3, pp. 880–884, November 2016.