Double filtering algorithm of infrared images based on lifting wavelet transform
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Received Date:
2014-05-04
Accepted Date:
2014-06-19
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Abstract
In order to filter the random noise in infrared images effectively, new double filtering algorithm was proposed based on lifting wavelet transform. Firstly, the noise infrared image was decomposed with lifting wavelet at first time. And then, the obtained high-frequency and low-frequency wavelet coefficients were decomposed with lifting wavelet transformation again. The improved threshold function model and nonlocal mean filter algorithm were used to filter the noise of lifting wavelet coefficients. Finally, histogram equalization algorithm was introduced to improve the visual effect of the filtering image. The standard test images, the experimental infrared images, peak signal-noise-ratio (PSNR) and structural similarity (SSIM) were obtained. The results show that, the performance of the algorithm in this paper is good to deal with noise infrared images.
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