Abstract
Image de-noising is the technique to reduce noises from corrupted images. The aim of the image denoising is to improve the contrast of the image or perception of information in images for human viewers or to provide better output for other automated image processing techniques. This paper presents a new approach for color image de-noising with Fuzzy Filtering techniques using centroid method for defuzzification. It preserves any type of edges (including tiny edges) in any direction. The experimental result shows the effectiveness of the proposed method.
Highlights
Color provides a significant portion of visual information to human beings and enhances their ability of object detection
For various reasons digital images are often contaminated with noise at the time of acquisition or transmission
The noise introduces itself into an image by replacing some of the pixels of the original image by new pixels having luminance values near or equal to the minimum or maximum of the allowable dynamic luminance range
Summary
Color provides a significant portion of visual information to human beings and enhances their ability of object detection. In the RGB color model, the three primaries are Red, Green, and Blue. They can be combined, two at a time to create the secondary hues. For various reasons digital images are often contaminated with noise at the time of acquisition or transmission. This is a difficult task in any image processing system. For this purpose various types of filters are used. Among those median filter is an important class of filters. In the present paper we shall discuss some of the median filters
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