An improvement of wavelet shrinkage denoising via wavelet coefficient transformation
An improvement of wavelet shrinkage denoising via wavelet coefficient transformation
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发表时间：
2011
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通讯作者：
Lin Zi-nan
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作者：
Lin Zi-nan
小波收缩去噪是一种重要的去噪算法，准确的阈值选取是区分原始信号和噪声信号的关键。提出了一种新的改进方法，即通过对小波系数进行变换，扩大原始信号和噪声接近的区域。仿真结果表明，该方法对信噪比指标有一定的改善，实验结果表明，该方法能有效地提高去噪效率，并能较好地保留原始信号的细节。
It is crucial to obtain an accurate threshold to distinguish an original signal from a noisy signal in wavelet shrinkage de-noising,an important de-noising algorithm.A new improvement method was proposed.It was to transform wavelet coefficients to enlarge the area where the original signal and the noise were close to each other.The simulation results illustrated that it brings improvement to the indexes of SNR,SME and visual effects.The experiments also demonstrated that it can improve the de-noising efficiency and reserve the details of the original signal.