SSIM

图像分割，实现水果图像分割，用Matlab(tuxiangfenge)

mean-shift跟踪算法中核窗口大小的自动选区(mean-shift tracking algorithm in the size of the nuclear window automatically constituency)

冲击噪声识别和消除的新算法，可以消除高达95 的冲击噪声，可用于毫米波成像等高脉冲噪声的恶劣环境(A novelt impulse noise removal algorithm which can work under the circumustance that the noise ratio reaches to 95 . )

随机森林用于 图像处理matalab 代码(Random Forest matalab code for image processing)

我改写后的graphbrian类，原本支持柱状图饼图和折线图的，现在添加了对这些图的风格调整，主要是增加了调整绘图区背景色和文本背景的功能，还增加了把图片保存为bmp文件的功能，以便用其他软件方便的打印。(I would then graphbrian category, which originally supported the pie chart histogram and line graph, and now added to adjust the style of these plans, the main adjustment is to increase the drawing area background color and text background function, but also an increase of the picture saved as bmp files, in order to use other software to facilitate printing.)

本书介绍了图像去模糊化的一些基本的知识，并且主要针对svd和spectral decomposition的去模糊算法进行了介绍，以及对于这些方法的一些提高计算速度的算法进行了详细是介绍(This ebook intruduces some basic knowledge of deblurring, especially the methods of SVD and Spectral Decomposition, and some fast algorithms for the two methods.)

贝特拉米滤波器，能够保持图像的边缘信息，同时对背景进行平滑处理 (beltrami filter, to keep the edge information of the image, while the background is smoothed)

这是个criminisi算法的源码，可以对图像进行相应的修补。效果很好。(This is a criminisi algorithm source code, images can be appropriate patch. With good results.)

1．选择一幅图像，对该图像进行DCT块操作（将图像分成8×8小块，对每个小块进行DCT变换）。 2.利用屏蔽矩阵对DCT系数进行区域选择，然后进行逆变换（IDCT），合成原图像，计算合成图像的PSNR。 3.选择一小波函数，对一幅图像进行分解，显示各变换系数，观察其规律，并进行小波逆变换，合成原图像。 (1. Select an image, the image DCT block operations (the image is divided into 8 × 8 small pieces of each small piece for DCT transform). 2. The use of shielding on the DCT coefficient matrix of regional choices, and then inverse transform (IDCT), synthesis of the original image, calculating the synthetic image PSNR. 3. To select a wavelet function, decomposition of an image to show the transform coefficients, to observe its laws, and inverse wavelet transform, the original synthetic image.)

说明：  求图像峰值信噪比PSNR代码，相信对你很有用(PSNR PSNR for the image code, I believe that is useful to you)