基于空间域低通滤波算子的其他频谱特性算子获得方法研究

图像滤波处理是图像处理的重要内容。图像可以在空间域利用卷积运算实现滤波处理，常用的滤波处理有低通滤波、高通滤波、高频强调滤波和同态滤波。本文首先介绍了图像不同区域的频谱分布情况和空间低通滤波算子的特性，然后基于卷积运算和傅里叶变换的性质，利用空间域低通滤波算子，获得空间域高通、高频强调和同态滤波算子的方法。

Research on Spectrum Method to Obtain Operators Based on Spatial Low-pass Filtering Operator

Filtering is an important content of image processing. Convolution filter can be used in the spatial domain, of which the process includes a low-pass filter, high-pass filter, high frequency emphasis filter and homo- morphic filtering. This paper describes the image in different regions of the spectrum and spatial distribution of the low-pass filtering operator characteristics, and then introduces the method of obtaining spatial high-pass, high-fre- quency stressed and homomorphic filtering operator, which is based on convolution and Fourier transform and by using spatial low-pass filtering operator.