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The research and application of image de-noising based on the improved method of wavelet thresholding

机译:基于改进的小波阈值法的图像降噪研究与应用

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This paper introduces the theory and method of image de-noising on wavelet threshold. On the basis of the traditional threshold algorithm, a new improved algorithm which changes the threshold is put forward. And use the MATLAB to achieve the remote sensing image de-noising. Experimental results show that the peak signal noise ratio (PSNR) of the new threshold algorithm has improved significantly than the traditional threshold algorithm and lower mean square error (MSE) significantly in Gaussian noise of remote sensing image de-noising. The de-noising effect is better.
机译:介绍了基于小波阈值的图像去噪的理论和方法。在传统阈值算法的基础上,提出了一种改变阈值的改进算法。并使用MATLAB实现了遥感影像的去噪。实验结果表明,新阈值算法的峰值信噪比(PSNR)比传统阈值算法有显着提高,并且在遥感图像降噪的高斯噪声中,均方根误差(MSE)显着降低。降噪效果更好。

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