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Application of Fuzzy Logic Detector to Improve the Performance of Impulse Noise Filter |
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PP: 1203-1207 |
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doi:10.18576/amis/100339
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Author(s) |
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K. Manivel,
R. Samson Ravindran,
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Abstract |
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| Images and pictures are required as sources of information for analysis and interpretation in various fields such as medicine,
remote sensing etc., These images are prone to impulse noise as a result of errors in the image acquisition or transmission process.
Thus, the output image needs to be enhanced. This work presents a novel fuzzy logic based impulse detector to guide the noise filter to
improve their performance and to restore images corrupted by impulse noise. The proposed scheme is based on the sugeno type and its
parameters are trained using genetic algorithm. Simulation results show that this proposed detector can be effectively used to improve
the performance of the impulse noise filter. |
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