Image De-Noising in Mixed Noises Based on Wavelet Transform

Bin Chen; Quan Qin; Xu Gan Zhang

doi:10.4028/www.scientific.net/AMR.562-564.1861

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 562-564Image De-Noising in Mixed Noises Based on Wavelet...

Image De-Noising in Mixed Noises Based on Wavelet Transform

Abstract:

A method of image de-noising in mixed noises based on wavelet transform is presented. Firstly, 2D multi-scale wavelets transforming the images to get the low-frequency sub-band images and the high-frequency sub-band images. Secondly, de-noising both the low-frequency sub-band images with the improved neighborhood average filters and the high-frequency sub-bands images with the improved wavelet threshold method. Lastly, wavelet refactoring the treated sub-band wavelet coefficients to get the de-noised images. The result shows that, this algorithm not only de-noises the image mixed noise, but also preserves the image edges and details well.

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Periodical:

Advanced Materials Research (Volumes 562-564)

Pages:

1861-1865

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.562-564.1861

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Online since:

August 2012

Authors:

Bin Chen, Quan Qin, Xu Gan Zhang

Keywords:

Image De-Noising, Mean Filter, Threshold, Wavelet Transform (WT)

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