Noise Reduction of an Image by using Function Approximation Techniques
Abhishek Arvind Gulhane1, Abrar Shaukat Alvi2
1ABHISHEK A GULHANE, ME(Scholar), University- Sant Gadge Baba Amravati University, College-P.R.M.I.T & R, Badnera, City-Amravati, Country-India.
2Prof. ABRAR SHAUKAT ALVI, University- Sant Gadge Baba Amravati University, College- P.R.M.I.T & R, Badnera, City-Amravati, Country-India.
Manuscript received on February 09, 2012. | Revised Manuscript received on February 24, 2012. | Manuscript published on March 05, 2012. | PP: 60-62 | Volume-2 Issue-1, March 2012. | Retrieval Number: A0378012111/2012©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: In this proposed work, an efficient simple, fast technique is given to remove noise of an image which is mostly introduced due to environmental changes. We focus on the noise issues that changes image pixels value either on or off. The pixels are easily identified as noisy pixels in grayscale image but it is difficult to recognize in RGB color image. Reason behind it is that, any color combination with white (pixel on) or black (pixel off) generate other color. This paper focus on such technique that reduces the noise in both grayscale and RGB image with recovery of originality of source image.
Keywords: Random Function Approximation, Salt Peeper Noise, Luminance, Noise Blur.