| Paper Details: | Downloads: 573 |
| Serial Number: | P1151012034
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| Title: | A Non-linear Switching Bilateral Filter for the Removal of Mixed Gaussian and Impulse Noise in Images with Edge Preservation Properties
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| Authors: | V.Jayaraj and D.Ebenezer
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| Abstract: | In this paper, we propose a Switching Bilateral Filter for universal noise removal. The algorithm contains two stages: detection followed by filtering. We propose a new scheme called as Quadrant Median Vector, which contains important features like edges and fine details. The Quadrant Median Vector is utilized to allocate a Reference Median which is in turn compared with a current pixel to classify it as impulse noise, Gaussian noise, or noise-free. The proposed switching bilateral filter removes both Gaussian and impulse noise without using additional weighting function. The range filter inside the bilateral filter switches between the Gaussian and impulse modes depending on the noise classification result. Simulation results show that our noise detector has a high noise detection rate as well as a high classification rate for salt-and-pepper, uniform impulse noise and mixed impulse noise. In addition, the computational complexity of SBF is significantly less than that of other mixed noise filters.
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| Keywords: | Non-linear Filters, Switching Bilateral Filter, Quadrant Median Vector, Reference Median, Universal filter, Gaussian noise, Impulse noise.
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 10
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| Issue: | 2
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| Submission Date: | 3/18/2010 12:00:00 AM
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| Review Date: | 5/26/2010 12:00:00 AM
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| Publishing Date: | 6/10/2010 12:00:00 AM
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| Article Downloads: | 573
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