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Image denoising algorithm of refuge chamber by combining wavelet transform and bilateral filtering 被引量:9
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作者 Zhang Weipeng 《International Journal of Mining Science and Technology》 SCIE EI 2013年第2期228-232,共5页
In order to preferably identify infrared image of refuge chamber, reduce image noises of refuge chamber and retain more image details, we propose the method of combining two-dimensional discrete wavelet transform and ... In order to preferably identify infrared image of refuge chamber, reduce image noises of refuge chamber and retain more image details, we propose the method of combining two-dimensional discrete wavelet transform and bilateral denoising. First, the wavelet transform is adopted to decompose the image of refuge chamber, of which low frequency component remains unchanged. Then, three high-frequency components are treated by bilateral filtering, and the image is reconstructed. The result shows that the combination of bilateral filtering and wavelet transform for image denoising can better retain the details which are included in the image, while providing better visual effect. This is superior to using either bilateral filtering or wavelet transform alone. It is useful for perfecting emergency refuge system of coal mines. 展开更多
关键词 Refuge chamber Image denoising bilateral filtering wavelet transform
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