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基于核函数的SAR图像目标识别,利用KPCA对SAR图像进行特征提取(SAR image target recognition based on kernel function，Use KPCA SAR image feature extraction)

图形界面计算psnr和ssim，直接输入原始图像和处理后的图像的psnr和ssim值，分别在Y通道和RGB通道(The graphical interface calculates PSNR and ssim, and directly inputs the PSNR and SSIM values of the original image and the processed image in Y channel and RGB channel, respectively)

Keren 配准的MATLAB源程序，可以进行图像配准及超分辨率运算(Keren registration of the MATLAB source code)

KSVD图像去噪,组稀疏编码，新的去噪思路(KSVD image denoise，group spare coding)

说明：  图像增强算法，包括灰度线性变换、灰度非线性变换、直方图均衡化，掌握基于MATLAB的各个算法的图像增强的实现。(Image enhancement algorithms, including gray linear transformation, gray non-linear transformation, histogram equalization, master the realization of image enhancement based on MATLAB.)

图像的检测消失点，运用到边沿检测，霍夫变换等(vanishing point detection)

Ocr related documentataion

用于实现基于压缩感知在傅里叶系数域上的图像融合(For image fusion based on compressed sensing in the domain of Fourier coefficients)

将一幅M×N的灰度图像用3×3平均滤波器进行模糊，分别再加上一定的高斯 噪声和均匀噪声。然后，设计一个维纳滤波器对这两幅图像进行复原，分别 计算这两幅图像复原前后的PSNR。(Gray-scale image of a MN 33 average filter is vague, respectively, plus a Gaussian noise and uniform noise. Then, design a Wiener filter to recover these two images, the two images before and after the recovery of PSNR were calculated.)

快速运动去模糊，在盲去卷积过程中运用一些加速算法(Fast motion to blur in the blind deconvolution algorithm to accelerate the process of using some)