Image Noise Reduction Processing Research Based on Wavelet Transform Combination with Homomorphic Filtering

DOI

10.2991/mmme-16.2016.69How to use a DOI?

Keywords

Wavelet transform; Homomorphic filtering; Median filtering; image enhance

Abstract

The condition monitoring and fault diagnosis of has attracted more and more attention by the infrared tech-nology. The image acquired infrared thermal imaging system is affected by some factors, which needs to be enhanced, so in order to deal with the low contrast and fuzzy human visual defect of the infrared image, The article deal with the image to get to low frequency and high frequency components by the wavelet transform, then the low frequency wavelet coefficients were disposed by homomorphic filtering, and the high frequency wavelet coefficients were enhanced by median filtering. Finally, the reconstructed infrared image with en-hancement was obtained by using the inverse wavelet transform. The experimental results show that the meth-od performs well in increasing the image detailed information and improving the gray contrast. The results are consistent with the human visual properties.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - F.C. Sun
AU  - W.Y. Song
AU  - X. Zhang
AU  - Z.D. Du
PY  - 2016/10
DA  - 2016/10
TI  - Image Noise Reduction Processing Research Based on Wavelet Transform Combination with Homomorphic Filtering
BT  - Proceedings of the 2016 4th International Conference on Mechanical Materials and Manufacturing Engineering
PB  - Atlantis Press
SP  - 305
EP  - 308
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmme-16.2016.69
DO  - 10.2991/mmme-16.2016.69
ID  - Sun2016/10
ER  -