说明：  本文是基于MATLAB的GUI来对不同的（彩色或灰色）图像进行图像增强的相关处理，主要包括以下四点： 频域变换：傅里叶变换和离散余弦变换及其反变换，可将图像在空域上的特性转化到频域上； 叠加噪声：对图像添加高斯噪声和椒盐噪声； 空域滤波：对噪声污染后的图像添加不同模板下的平滑滤波和锐化滤波，可选择不同模板尺寸； 频域滤波：对噪声污染后的图像添加理想低通滤波器、巴特沃斯低通滤波器、理想高通滤波器、巴特沃斯高通滤波器、带通滤波器、带阻滤波器等，可实现平滑图像的效果。
(This article is based on MATLAB GUI for image enhancement associated processing different (color or gray) images, including the following four points: the frequency domain: Fourier transform and discrete cosine transform and inverse transform, the image can be characteristics of airspace on transformed into the frequency domain superimposed noise: the image to add Gaussian noise and salt and pepper noise spatial filtering: the image after adding noise pollution smoothing and sharpening filter under different templates, choose a different template size frequency domain filtering: the image after adding noise pollution ideal low-pass filter, Butterworth low-pass filter, the ideal high-pass filter, Butterworth high-pass filter, band pass filter, band stop filter, can achieve a smooth image effect.)