Implementation of Impulse Noise Reduction Method to Color Images using Fuzzy Logic

G Venkateswara Rao

Implementation of Impulse Noise Reduction Method to Color Images using Fuzzy Logic

G Venkateswara Rao * §

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Satya P Kumar Somayajula

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Implementation of Impulse Noise Reduction Method to Color Images using Fuzzy Logic

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Abstract

Image Processing is a technique to enhance raw images received from cameras/sensors placed on satellites, space probes and aircrafts or pictures taken in normal day-to-day life for various applications. Impulse noise reduction method is one of the critical techniques to reduce the noise in color images. In this paper the impulse noise reduction method for color images by using Fuzzy Logic is implemented. Generally Grayscale algorithm is used to filter the impulse noise in corrupted color images by separate the each color component or using a vector-based approach where each pixel is considered as a single vector. In this paper the concepts of Fuzzy logic has been used in order to distinguish between noise and image characters and filter only the corrupted pixels while preserving the color and the edge sharpness. Due to this a good noise reduction performance is achieved. The main difference between this method and other classical noise reduction methods is that the color information is taken into account to develop a better impulse noise detection a noise reduction that filters only the corrupted pixels while preserving the color and the edge sharpness. The Fuzzy based impulse noise reduction method is implemented on set of selected images and the obtained results are presented.

References

7 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

G Venkateswara Rao, Satya P Kumar Somayajula. 1970. "Implementation of Impulse Noise Reduction Method to Color Images using Fuzzy Logic". Global Journal of Computer Science and Technology GJCST Volume 11 (GJCST Volume 11 Issue 22).

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GJCST Volume 11 Issue 22

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Fuzzy logic image processing Impulse Noise

Classification

GJCST Classification I.4.3

Submission ReceivedNovember 12, 2011
Peer Review Double Blind
Handling Editor
Accepted December 2, 2011
Published December 13, 2011

Version of record

v1.2

Issue date

January 12, 2012

Language

English

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Article Matrices

Total Score: 148

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: G Venkateswara Rao,Satya P Kumar Somayajula , Dr. C.P.V.N.J Mohan Rao (PhD/Dr. count: 1)

View Count (all-time): 238

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Total Downloads (simulated): 424

Publish Date: 2011 12, Tue

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Total Views: 5.2K

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