针对红外图像对比度差、噪声较大的缺点，提出一种基于二维离散小波变换的红外图像增强方法。

Aiming at the bad contrast of infrared image and big noise, this article gives out an arithmetic of image enhancement based on the disperse of two-dimensional and wavelet transform.

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以下是本文的三个创新性成果：1设计了一种并行阵列式二维离散小波变换DWT提升格式的硬件结构。

This thesis achieves the following three innovative results: 1 the thesis presents a new parallel array 2-d discrete wavelet transform DWT hardware architecture based on lifting schemes.

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实验中以CDF 9/7二维离散小波变换为例，对于JPEG 2000中推荐使用的5级小波分解，本文算法相对于原空间组合推举算法的缩放运算乘法量减少了34。

Using 5-level CDF9/7 2-D discrete wavelet transform recommend in the standard of JPEG2000, the multiplication operation for scaling in the algorithm is decreased by 34.

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