一种改进的小波阈值图像去噪方法

An Improved Method for Image Denoising Based on Wavelet Thresholding

分析小波阈值去噪特点,针对软、硬阈值去噪存在伪吉布斯和边界模糊现象,提出一种改进的阈值函数和阈值估计方法,该阈值函数具有连续可导且偏差可变的特性,新的阈值估计方法具有较好的自适应性。实验结果表明,该方法可以有效地去除白噪声干扰,无论从视觉效果上还是信噪比上,都优于软、硬阈值去噪方法。

Analyzing the characteristics of the wavelet threshold denoising,because that hard threshold denoising makes boundaries fuzzy and soft threshold denoising has Gibbs phenomenon,an improved threshold function and threshold estimation method is proposed,the new threshold function is continuous differentiable and has variable deviation,a new threshold estimation method has better adaptive. Experimental results show that the improved method can effectively remove the white noise,no matter from the visual effect,or the signal-to-noise ratio,the improved method is better than the soft,hard threshold denoising.