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| Filter for Removal of Impulse Noise By Using Fuzzy Logic
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Source |
International Journal of Image Processing (IJIP) |
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Table of Contents |
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Volume: 3 Issue: 5 |
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Pages: 184-251 |
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Publication
Date: November 2009 |
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ISSN
(Online): 1985-2304 |
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Pages |
195 - 202 |
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Author(s) |
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Published
Date |
30-11-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Digital Image Processing (DIP), Image Enhancement (IE), Fuzzy Logic (FL), Peak-signal-tonoise- ratio (PSNR) |
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| Digital image processing is a subset of the electronic domain wherein the image
is converted to an array of small integers, called pixels, representing a physical
quantity such as scene radiance, stored in a digital memory, and processed by
computer or other digital hardware. Fuzzy logic represents a good mathematical
framework to deal with uncertainty of information. Fuzzy image processing [4] is
the collection of all approaches that understand, represent and process the
images, their segments and features as fuzzy sets. The representation and
processing depend on the selected fuzzy technique and on the problem to be
solved. This paper combines the features of Image Enhancement and fuzzy
logic. This research problem deals with Fuzzy inference system (FIS) which help
to take the decision about the pixels of the image under consideration. This
paper focuses on the removal of the impulse noise with the preservation of edge
sharpness and image details along with improving the contrast of the images
which is considered as the one of the most difficult tasks in image processing. |
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| 1 |
Gonzalez, R.C., Woods, R.E., Book on “Digital Image Processing”, 2nd Ed, Prentice-Hall of India Pvt. Ltd.
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| 2 |
Carl Steven Rapp, “Image Processing and Image Enhancement”, Texas, 1996.
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R. Vorobel, "Contrast Enhancement of Remotely-Sensed Images," in 6th Int. Conf. Math. Methods in Electromagnetic Theory, Lviv, Ukraine, Sept 1996, pp. 472-475.
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Tizhoosh, “Fuzzy Image Processing”, © Copyright Springer, 1997.
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Farzam Farbiz, Mohammad Bager Menhaj, Seyed A. Motamedi, and Martin T. Hagan, “A new Fuzzy Logic Filter for image Enhancement” IEEE Transactions on Systems, Man, And Cybernetics—Part B: Cybernetics, Vol. 30, No. 1, February 2000
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P. Fridman, "Radio Astronomy Image Enhancement in the Presence of Phase Errors using Genetic Algorithms," in Int. Conf. on Image Process., Thessaloniki, Greece, Oct 2001, pp. 612-615.
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| Er. Harish Kundra : Colleagues
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| Er. Monika Verma : Colleagues
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| Er. Aashima : Colleagues
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