The-Curvelet-Transform-

运用偏微分方程(PDE)方法进行图像处理的matlab程序，包括图像滤波、图像分割、插值、图像增强、恢复及一些方程组求解等在偏微分方法处理图像处理领域常用且重要的处理程序，供大家学习。(The use of partial differential equations methods matlab image processing procedures, including image filtering, image segmentation, interpolation, image enhancement, restoration, and some partial differential equations approach to solving such as in the field of image processing procedures used and important for them to learn.)

结构相似度函数，数字图像质量评价的一种经典方法(for image quality evaluation)

用matlab做的基于DCT变换的图像压缩源码，先把图像分成8X8 的子块，然后做DCT变换，再量化，在恢复重建图像(Using matlab to do DCT-based transform image compression source code, first image is divided into 8x8 sub-block, and then make DCT transform, and then quantified, at the resumption of the reconstructed image)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

利用相位相关法实现了图像的匹配，这种方法的优点是提取速度快，方法简单，运算量少。(Using the phase correlation method to realize the image matching, the advantage of this method is the extraction method is simple, fast, less computation.)

此代码为传统的snake模型算法代码，运行其中的egsnake.m即可。该代码实现对图像的边缘检测，仅供大家一块学习交流(This code is the code algorithm of traditional snake model, which can run egsnake.m. The code to achieve the image edge detection, we only a learning exchange.)

I WANT SOURCE CODE FOR IMAGE SEGMENTATION

TIP10的paper "Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" 的代码。一个图像去噪和超分辨的算法(TIP10' s paper " Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization" code. Image denoising and super-resolution algorithm)

对图像进行灰度处理，乘除处理法处理，加法处理，减法处理(Gray scale, multiplication and division of image)

7个不变矩的在Matlab中的实现，提供代码供大家参考。(Seven invariant moments of the realization in Matlab to provide the code for your reference.)