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

Publish place: Journal of Computer and Robotics، Vol: 7، Issue: 2
Publish Year: 1394
Type: Journal paper
Language: English
View: 426

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Link to this Paper:
https://civilica.com/doc/682957

Document National Code:

JR_JCR-7-2_004

Index date: 13 January 2018

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

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

Cellular Automata , Graphic Processing Units , Salt and pepper noise

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

Afsaneh Jalalian

Department of Computer and Communication Systems engineering, Faculty of Engineering, Universiti Putra, Malaysia

Babak Karasfi

Faculty of Computer and Information Technology Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

Khairulmizam Samsudin

Department of Computer and Communication Systems engineering, Faculty of Engineering, Universiti Putra, Malaysia

M.Iqbal Saripan

Department of Computer and Communication Systems engineering, Faculty of Engineering, Universiti Putra, Malaysia