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.
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.
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.
在以上小波分析理论的基础上进一步讨论了二维正交小波变换和离散图像的小波变换实现。
Based on mentioned-above wavelet analysis theories, two-dimension biorthogonal wavelet and the implementation of wavelet transform on discrete images have been discussed.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。
Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory.
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