• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Editorial Staff
    • Publication Ethics
    • Indexing and Abstracting
    • Related Links
    • FAQ
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of Computer & Robotics
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 12 (2019)
Volume Volume 11 (2018)
Volume Volume 10 (2017)
Volume Volume 9 (2016)
Volume Volume 8 (2015)
Volume Volume 7 (2014)
Issue Issue 2
Issue Issue 1
Volume Volume 6 (2013)
Volume Volume 5 (2012)
Volume Volume 4 (2011)
Volume Volume 3 (2010)
Volume Volume 1 (2008)
Jalalian, A., Karasfi, B., Samsudin, K., Saripan, M., Mashohor, S. (2014). Fast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal. Journal of Computer & Robotics, 7(2), 21-28.
Afsaneh Jalalian; Babak Karasfi; Khairulmizam Samsudin; M.Iqbal Saripan; Syamsiah Mashohor. "Fast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal". Journal of Computer & Robotics, 7, 2, 2014, 21-28.
Jalalian, A., Karasfi, B., Samsudin, K., Saripan, M., Mashohor, S. (2014). 'Fast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal', Journal of Computer & Robotics, 7(2), pp. 21-28.
Jalalian, A., Karasfi, B., Samsudin, K., Saripan, M., Mashohor, S. Fast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal. Journal of Computer & Robotics, 2014; 7(2): 21-28.

Fast Cellular Automata Implementation on Graphic Processor Unit (GPU) for Salt and Pepper Noise Removal

Article 4, Volume 7, Issue 2, Summer and Autumn 2014, Page 21-28  XML PDF (168.12 K)
Authors
Afsaneh Jalalian email 1; Babak Karasfi2; Khairulmizam Samsudin1; M.Iqbal Saripan1; Syamsiah Mashohor1
1Department of Computer and Communication Systems engineering, Faculty of Engineering, Universiti Putra, Malaysia
2Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Receive Date: 14 September 2012,  Accept Date: 22 July 2013 
Abstract
Noise removal operation is commonly applied as pre-processing step before subsequent image processing tasks due to the occurrence of noise during acquisition or transmission process. A common problem in imaging systems by using CMOS or CCD sensors is appearance of  the salt and pepper noise. This paper presents Cellular Automata (CA) framework for noise removal of distorted image by the salt and pepper noise. In order to enhance the performance of the designed CA for noise removal, a parallel programming approach has been adopted and implemented on GPU. The results obtained show that the proposed CA models implemented on general purpose processor and GPU are able to suppress noise in high noise intensity up to 90 percents. The proposed CA implemented on GPU has successfully outperformed the method implemented on CPU by factor of 2 for gray scale image and factor of 10 for color images.
Keywords
Cellular Automata; Graphic Processing Units; Salt and pepper noise
Statistics
Article View: 2,278
PDF Download: 1,857
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Journal Management System. Designed by sinaweb.