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ICA用于图像特征提取 通过定义一个衡量分量独立性和非高斯性的目标函数来实现的(ICA for image feature extraction components by defining a measure of independence and non-Gaussian nature of the objective function to be achieved)

通过多分辨率分解，实现红外图像的增强，改善图像的对比度(Through a multi-resolution decomposition, to achieve enhanced infrared image)

基于形状的灰度共生矩阵的图像检索，利用基元扫描图像(Shape-based image retrieval GLCM, using primitive scanned image)

利用正交匹配跟踪原子库对信号进行稀疏分解程序(Sparse decomposition process)

基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)

matlab图像处理中经典图片，包括lena，baboon，等(MATLAB image processing classic pictures, including Lena, baboon, etc.)

说明：  注：运行前自己准备图像，修改I = imread('')单引号中的路径 1. 给一张灰度图添分别添加高斯噪声和椒盐噪声。然后分别进行均值滤波和中值滤波，并把处理后的图片保存。 2. 图像频域处理，对图像进行傅里叶变换，进行高通滤波，显示处理结果。 3. 图像平移和旋转 4. 分别用OSTU阈值法和全局阈值法分割图像，然后进行腐蚀和膨胀处理，显示处理结果。(Note: Prepare the image by yourself before running, modify the path in single quotes of I = imread('')1. Add Gaussian noise and salt and pepper noise to a grayscale image. Then perform mean filtering and median filtering respectively, and save the processed pictures.2. Image frequency domain processing, Fourier transform of the image, high-pass filter, and display the processing result.3. Image translation and rotation4. Separate the image with OSTU threshold method and global threshold method, and then perform corrosion and dilation processing, and display the processing results.)

实验两张图片的拼接，对于图片中的匹配对，用ransac方法消除错配，并估计出仿射矩阵。然后将一张图进行仿射变换，再实现拼接(Experiment two pictures of the stitching, matching pairs for the picture, with ransac way to eliminate mismatches, and to estimate the affine matrix. Then an affine transformation diagram, and then realize splicing)

用共轭梯度下降算法 求解图像压缩感知 并进行比较(Conjugate gradient descent algorithm for image compression and compared perception)

利用VC进行图像的频域滤波处理，内含源代码(VC image using the frequency domain filtering treatment, including source code)