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| In the infrared image guidance system, the main factor that affects the guidance accuracy is the noise during the image processing. Therefore, how to eliminate the noise effectively becomes very important to guarantee the guidance accuracy. Traditionally, as wavelets have preferable time-frequency resolving characteristics, they are applied to the denoising of image and better results are obtained. In this paper, a new kind of infrared image threshold denoising method based on discrete stationary wavelet transform (SWT) is presented. That is after making SWT to an infrared image, an adaptive soft threshold denoising is done in the high frequency subbands of each decomposition level respectively. The denoising results show that it has a superior performance than conventional discrete wavelet transform. |
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| Keywords:stationary wavelet transform, infrared images, threshold de-noising |
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