最后讨论了离散尺度与小波核函数的构造，核函数选择与核参数学习。
Finally, the construction of discrete scaling and wavelet kernels, the kernel selection and the kernel parameter learning are discussed.
本文对目前流行的各种方法进行了归类，主要思想有：边缘保持、矢量量化、小波变换、插值核、分形技术以及边缘模型。
And this paper classifies the popular methods, the main ideas are as follows: edge preserving, vector quantization, wavelet transform, interpolation kernel, Fractal technology and edge model.
该软核采用插值算法进行图像处理，利用硬件编程语言VHDL对FPGA进行设计，也可利用小波变换方法对图像处理算法进一步优化。
The soft core can adopt interpolation technique to process image, can make use of VHDL to design FPGA, and can also use wavelet transform to improve the arithmetic of image process.
该软核采用插值算法进行图像处理，利用硬件编程语言VHDL对FPGA进行设计，也可利用小波变换方法对图像处理算法进一步优化。
The soft core can adopt interpolation technique to process image, can make use of VHDL to design FPGA, and can also use wavelet transform to improve the arithmetic of image process.
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