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Noise Reduction of an Image by using Function Approximation Techniques.

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Author(s): ABHISHEK ARVIND GULHANE | ABRAR SHAUKAT ALVI

Journal: International Journal of Soft Computing & Engineering
ISSN 2231-2307

Volume: 2;
Issue: 1;
Start page: 60;
Date: 2012;
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Keywords: Random Function Approximation | Salt Peeper Noise | Luminance | Noise Blur.

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.

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