JOURNAL ARTICLE

Image Filtering using Linear and Non Linear Filter for Gaussian Noise

Pawan KumarPatidarLalit LalitBaldev SinghGaurav Bagaria

Year: 2014 Journal:   International Journal of Computer Applications Vol: 93 (8)Pages: 29-34

Abstract

The goal of image filtering is to remove the noise from the image in such a way that the "original " image is visible. Linear filter [1] is the filtering in which the value of an output pixel is a linear combination of neighborhood values, which can produce blur in the image. Median filter is the one of the most popular non-linear filter. Image filtering is a method by which we can enhance images.Image filtering methods are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. In these work Gaussian noise used and image filtering performed by Linear and Non Linear filter. Further results have been compared for filters using Standard Deviation and Mean Square Error value.

Keywords:
Computer science Filter (signal processing) Gaussian noise Noise (video) Computer vision Artificial intelligence Median filter Image (mathematics) Gaussian filter Image noise Gaussian Linear filter Pattern recognition (psychology) Image processing Physics

Metrics

9
Cited By
0.24
FWCI (Field Weighted Citation Impact)
12
Refs
0.63
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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