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- W2052906657 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." @default.
- W2052906657 created "2016-06-24" @default.
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- W2052906657 date "2010-07-01" @default.
- W2052906657 modified "2023-09-27" @default.
- W2052906657 title "A switching bilateral filter for images with edge preservation properties" @default.
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- W2052906657 doi "https://doi.org/10.1109/icsps.2010.5555534" @default.
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