摘要
图像增强是对数字图像的预处理,使图像整体或局部特征能有效地改善。通过对频域法图像增强理论的理解,分析了频域法的低通滤波、高通滤波。在此基础上,利用MATLAB对理想的高低通滤波器、指数高低通滤波器、巴特沃斯高低通滤波器以及梯形高通滤波器进行编程与仿真,并对其结果进行分析与比较,表明低通滤波和高通滤波都能较好的改善图像质量。
Image enhancement which is also called image pre-processing plays an indispensable role in signal image processing. Through the use of frequency-domain method for understanding of image enhancement-thoery, low-pass filtering and high-pass filtering are analysed. On this basis, ideal low pass filter, ideal high pass filter, exponential low pass filter, exponential high pass filter, Butterworth low pass filter, Butterworth high pass filter, trapezoidal how pass filter, which are processed programming and simulation in MATLAB. Results are analysed and compared, indicating better to improve the image to adopt low-pass filtering and high-pass filtering.
出处
《测绘》
2009年第6期273-275,共3页
Surveying and Mapping
