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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