To overcome pulse noise influence to image quality, discrete dyadic wavelet transform (DDWT) is used to reduce the noise influence and improve signal to noise ratio (SNR).
为了克服噪声对超声检测成像质量的影响，利用离散二进制小波变换的分解重构算法来降低脉冲噪声的干扰，提高超声图像的信噪比。
To overcome pulse noise influence to image quality, discrete dyadic wavelet transform (DDWT) is used to reduce the noise influence and improve signal to noise ratio (SNR).
为了克服噪声对超声检测成像质量的影响，利用离散二进制小波变换的分解重构算法来降低脉冲噪声的干扰，提高超声图像的信噪比。
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