DocumentCode
2794117
Title
Application of polynomial interpolation to salt and pepper noise removal
Author
Hsieh, Cheng-Hsiung ; Lan, Chia-Wei ; Chen, Pei-wen ; Hung, Wei-Lung
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Chaoyang Univ. of Technol., Chaoyang
Volume
6
fYear
2008
fDate
12-15 July 2008
Firstpage
3183
Lastpage
3187
Abstract
In this paper, we apply the one-dimensional polynomial interpolation (1-D PI) to salt and pepper noise removal. The difference between the proposed approach and median based schemes is that the noise pixel is replaced by an interpolated value instead of median in the window. With 3 x 3 window, two non-noise neighbor pixels are used to estimate the noise pixel by first-order PI. Then the interpolated value takes the place of noise pixel. The proposed approach is justified by two examples. The results indicate that the proposed approach has better visual quality in the examples when compared with conventional median filter and adaptive median filter.
Keywords
image denoising; image resolution; interpolation; polynomials; adaptive median filter; nonnoise neighbor pixels; polynomial interpolation; salt and pepper noise removal; Adaptive filters; Degradation; Face recognition; Image quality; Interpolation; Low pass filters; Machine learning; Noise level; Pixel; Polynomials; Noise removal; Polynomial interpolation; Salt and pepper noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620955
Filename
4620955
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