exp_5

稀疏表示中字典学习算法KSVD的实现，可以得到冗余字典，代码内部有详细注释(The realization of the sparse representation of a dictionary learning algorithm KSVD, can get a redundant dictionary, internal has a detailed code comments)

批量图片合并源码

可实现对残缺图像的修复，应用了基于mp算法的图像稀疏分解思想。过程中考虑到了原子库原子的能量特性......(Enables the restoration of fragmentary images, applications mp-based algorithm for image sparse decomposition ideas. The process of taking into account the characteristics of atomic energy of the atom library ......)

说明：  图像分块的处理和matlab水印的提取，(Image sub-block processing and matlab watermark extraction,)

说明：  利用稀疏表示 omp k-svd训练字典的方法，实现了图像去噪(The sparse representation of OMP k-svd training dictionary is used to realize Image Denoising)

对自适应双边滤波进行图像增强，使图像去噪效果更好(Adaptive bilateral filtering for image enhancement, image denoising effect is better)

一个简单的图像处理中粗糙度和方向度的MATLAB编程实现，已经通过调试，无误可用(A simple image processing in the direction of roughness and degree of MATLAB programming, has been through debugging, accurate available)

对图像处理后，将图像中的目标边缘提取出来，然后添加到原图像上(After image processing, the image of the target edge extracted, and then added to the original image)

本代码实现的功能：24位位图（BMP）的灰度化。具体实现过程：打开图像文件,找到数据区(每3个字节代表一个象素的R,G,B值),循环扫描,根据RGB的权重,计算出灰度值. 如果要得到256色灰度图,则要新建一个调色板,修改信息头和文件头.(Realize the function of the code: 24-bit bitmap (BMP) of the gray. Concrete realization of the process: Open the image file, locate the data area (3 bytes per pixel on behalf of a R, G, B values), cyclic scan, according to the weight of RGB, gray value is calculated. If you want to get 256 colors grayscale, would create a new palette, modify the header and file header information.)

C++Builder编写的图象处理程序(带示例)(C++ Builder prepared image processing procedures (with examples))