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.

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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.

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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.

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