An approach for images with low-frequency noise denoising via pre-emphasis and high-pass filter

Qi Zhang; Shaobo Ma; Li Cao

doi:10.1117/12.2010782

20 March 2013 An approach for images with low-frequency noise denoising via pre-emphasis and high-pass filter

Qi Zhang, Shaobo Ma, Li Cao

Author Affiliations +

Proceedings Volume 8768, International Conference on Graphic and Image Processing (ICGIP 2012); 87681O (2013) https://doi.org/10.1117/12.2010782
Event: 2012 International Conference on Graphic and Image Processing, 2012, Singapore, Singapore

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.

Citation Download Citation

Qi Zhang, Shaobo Ma, and Li Cao "An approach for images with low-frequency noise denoising via pre-emphasis and high-pass filter", Proc. SPIE 8768, International Conference on Graphic and Image Processing (ICGIP 2012), 87681O (20 March 2013); https://doi.org/10.1117/12.2010782

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