该方法通过非线性变换，将高灰度分辨率图像压缩为低灰度分辨率图像，能更好地体现语谱图的细微变化。

With nonlinear transformation, the high-resolution gray image was compressed to low gray-resolution image, so the detail variation of spectrum would be better reflected.

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本文提出了一种新的理论-灰度谱分级平坦化来克服人类视觉对比度分辨率限制。

A new theory of gradually flattening gray spectrum was presented to overcome the contrast resolution limitation of human vision.

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不同源图像间由于灰度和分辨率水平上的显著差异，使得两图像间的配准问题十分困难。

Because of difference on the gray - level and resolution - level between multi - source images, it is very difficult to register two images.

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