Image_Denoising_using_Fourth_Order_PDE

基本jpeg压缩源码，包括dct,量化，zigzag和huffman编码，适于数字图像处理开发人员。(Basic jpeg compression source, including dct, quantization, zigzag and huffman encoding, suitable for digital image processing developer.)

改进的图像拼接算法，基于sift算法，实现图像的自动拼接，测试，完美运行(Improved image mosaic algorithm based the sift algorithm to achieve automatic image stitching, test, run perfectly)

该实例实现了 截图并识别截图中的文字功能 该项目需要在安装 Microsoft Office Document Imaging 下载地址 如下: http://www.xdowns.com/soft/4/25/2009/Soft_50716.html 

采用基于信道非均匀性校正改进的RLS算法实现对探测器的非均匀性校正(An improved RLS algorithm based on channel nonuniformity correction is used to correct the nonuniformity of detector.)

数字图像处理图像去模糊迭代盲去卷积算法matlab源代码(Digital image processing, image deblurring iterative blind deconvolution algorithm Matlab source code)

采用预处理的CG算法求解Hilbert矩阵，求解1000阶及以上的方程组。预处理矩阵分别采用3对角线、5对角线以及在对角线上分割小块矩阵的矩阵。可以任意设置收敛精度，简单实用。(CG algorithm for solving Hilbert matrix preconditioning, 1000 order and above solving equations. Diagonal matrix were pretreated with 3, 5 and in the diagonal matrix, the diagonal matrix of divided pieces. Can be set convergence precision, simple and practical.)

数字图像处理中sobel算子的手写代码；canny手写代码；加噪声并滤波的调用库函数代码(Digital image using sobel & canny)

matlab code for image fusion based on curvelet transform and genetic algorithm

本代码比较全面地给出了图像边缘检测常用的各种算法的代码，包括：基于LoG算子边缘检测、基于Canny算子的边缘检测、基于SUSAN算子的边缘检测、基于小波变换模极大值的边缘检测、利用有限冲击响应来提取不同方向边缘、采用灰度形态学膨胀和腐蚀，对图像进行单尺度和多尺度的形态学边缘检测(This code gives a more comprehensive variety of commonly used edge detection algorithm code, including: LoG operator based on edge detection, based on Canny operator edge detection based on SUSAN operator edge detection based on wavelet transform modulus maxima edge detection values ​ ​ using finite impulse response to extract edges in different directions, using grayscale morphological dilation and erosion, the image of the single-scale and multi-scale morphological edge detection)

整合了不完整张量的平滑平行因子分解和最小化张量秩模型的有效选择的张量补全，用于图像处理，(The proposed method admits significant advantages, owing to the integration of smooth PARAFAC decomposition for incomplete tensors and the efficient selection of models in order to minimize the tensor rank.)