阈值改进算法在小波去噪中的应用
An Improved Thresholding Denosing Algorithm and Its Application in Wavelet Denoising
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摘要: 针对用小波变换进行图像去噪的阈值设定问题, 本文在经典的小波软、硬阈值消噪方法的基础上, 提出了一种新的阈值选取方法。该算法采用一个矫正因子来构造新的阈值函数, 调整了软硬阈值的恒定偏差。Mat-lab仿真结果表明, 此法同时克服了软、硬阈值方法的缺点, 其去噪效果也有了显著提高。Abstract: Aiming at the issue of threshold setting by using wavelet transform image denoising, this paper presents a new method for selecting threshold value based on the classical method of wavelet soft and hard threshold denoising.The algorithm adopts a correction factor to construct a new thresholding to adjust the constant deviation of soft and hard threshold.Simulation result obtained form software Matlab shows that the method overcomes the shortcomings of the soft and hard threshold method, and remarkably enhances the denoising effect.