针对MRI影像经常出现的正常组织和病态组织之间对比度不清的问题，文中采取基于小波变换的非线性的图像增强算法。
Aimed at the unclear contrast problem between normal organization and morbid organization of the MRI, we adapted an enhanced algorithm of image, which based on wavelet transformation and nonlinear.
然后用相同的小波基对给定的环境光做小波变换，只保留其中绝对值较大的系数，从而得到环境光的非线性逼近。
Then, it approximates the environment map in the same wavelet basis by keeping only the largest terms to get a non-linear approximation of the environment-map.
该模型具有小波变换的良好时、频域分辨能力和支持向量机的非线性学习能力；
The model combines good time domain, frequency domain resolving ability of wavelet transformation and nonlinear learning ability of SVM.
结论综合利用小波变换不同尺度进行非线性变换所得到的模板可以显著提高QRS复合波的检测率。
Conclusion QRS detection rate can be greatly improved when specific QRS template is obtained from the nonlinear transformation of the different wavelet scales.
利用小波变换能够很好地保留图像细节信息的特点，提出了一种将非线性扩散方程和小波变换相结合的图像去噪方法。
Using the features of wavelet transform that can save detail image information, an image denoising method with the combination of nonlinear diffusion and wavelet transform was presented.
利用小波变换能够很好地保留图像细节信息的特点，提出了一种将非线性扩散方程和小波变换相结合的图像去噪方法。
Using the features of wavelet transform that can save detail image information, an image denoising method with the combination of nonlinear diffusion and wavelet transform was presented.
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