An Image Filtering Algorithm for Removing Mixed Noise

Mao Xiang Chu; An Na Wang; Rong Fen Gong

doi:10.4028/www.scientific.net/AMM.433-435.383

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435An Image Filtering Algorithm for Removing Mixed...

An Image Filtering Algorithm for Removing Mixed Noise

Abstract:

In order to remove salt-and-pepper noise and Gaussian noise in image, a novel filtering algorithm is proposed in this paper. The novel algorithm can preserve image edge details as much as possible. Firstly, five-median-binary code (FMBC) is proposed and used to describe local edge type of image. Secondly, median filter algorithm is improved to remove salt-and-pepper noise by using FMBC. Then, local enhanced bilateral filter with FMBC and a new type of exponential weighting function is used to remove Gaussian noise. Simulation results show that the algorithm proposed in this paper is very effective not only in filtering mixed noise but also in preserving edge details.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

383-388

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.383

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Online since:

October 2013

Authors:

Mao Xiang Chu*, An Na Wang, Rong Fen Gong

Keywords:

Five-Median-Binary Code, Local Enhanced Bilateral Filter, Median Filter, Mixed Noise

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* - Corresponding Author

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