针对图像小波系数在各子带内显著性分布的聚簇特征，提出了在SPIHT算法的输出环节引入游程编码。
After the clustering characteristics of image wavelet coefficients' significance distribution in each sub-band was analyzed, run-length coding (RLC) was introduced into SPIHT's output stage.
采用正交多项式回归分析法建立回归模型，并对回归方程和回归系数进行显著性检验。
The method of orthogonal polynomial regression was used for regression modeling, and then the regression equations and regression coefficients were tested for significance.
其次针对SAR图像相干斑抑制问题，提出一种双变量收缩函数与小波系数显著性增强相结合的SAR图像的斑点抑制算法。
And then addressing SAR image speckle denoising, this dissertation proposed a new method based on bivariate shrinkage function combined with enhancement of wavelet significant coefficients.
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