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
Link To Document :
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