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Proceedings Paper

An approach for images with low-frequency noise denoising via pre-emphasis and high-pass filter
Author(s): Qi Zhang; Shaobo Ma; Li Cao
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Paper Abstract

Wavelet-based denoising methods have been successfully applied in processing images with high-frequency noise, such as salt noise, Gausian noise, Poisson noise, etc. However, it is less effective when processing images with low-frequency noise. Seemingly, we can consider using high-pass filter directly to remove the low-frequency noise, but it turns out that when the noise is removed, the useful low-frequency information is also weakened during the process. In this paper, we proposed a new approach to denoise the images with low-frequency noise via pre-emphasis and high-pass filtration. Thereby we removed the low-frequency noise effectively without losing useful low-frequency information. The approach can be well applied in decreasing the interference of low-frequency noise in image transmission.

Paper Details

Date Published: 20 March 2013
PDF: 5 pages
Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681O (20 March 2013); doi: 10.1117/12.2010782
Show Author Affiliations
Qi Zhang, Nanjing Univ. of Aeronautics and Astronautics (China)
Shaobo Ma, Nanjing Univ. of Aeronautics and Astronautics (China)
Li Cao , Nanjing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 8768:
International Conference on Graphic and Image Processing (ICGIP 2012)
Zeng Zhu, Editor(s)

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