New Image Noise Reduction Schemes Based on Cellular Automata
Biswapati jana1, Pabitra Pal2, Jaydeb Bhaumik3
1Biswapati Jana, Department of Computer Science, Vidyasagar University, Paschim Medinipur, India.
2Pabitra Pal, Department of Computer Science, Vidyasagar University, Paschim Medinipur, India.
3Jaydeb Bhaumik , Department of Electronics and Communication, Engineering, Haldia Institute of Technology, Purba Medinipur, India.
Manuscript received on April 15, 2012. | Revised Manuscript received on April 20, 2012. | Manuscript published on May 05, 2012. | PP: 98-104 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0534042212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper presents noise filtering technique of noisy image using cellular automata (CA). Two new approaches to reduce noise form a noisy image have been proposed. In the first approach, difference values of Moore neighbors form center pixel are calculated, then sorted in ascending order and the center pixel value is updated depending on the present pixel values using CA rule. In second approach, all pixels value of Moore neighbor including center pixel are sorted in ascending order. Then the minimum and maximum values are eliminated form sorted pixel values and the center pixel value is updated using CA rule. Results are compared with other existing filtering technique in terms of Peak Signal to Noise Ratio ( PSNR). This comparisons shows that a filter based on CA provides significant improvements over the standard filtering methods.
Keywords: Cellular Automata (CA), Image processing, Noise reduction, Peak signal-to-noise ratio (PSNR).