matlab-code-based-image-retrieval

利用matlab来对数据进行其各种对应的变换和相位获取(Matlab is used to transform the data and acquire phase)

K-SVD的工具箱，使用非常简单，直接运行demo。有助于学习K-SVD，对初学者非常有用。(K-SVD Toolbox, easy to use and it is very useful for beginners.)

数字图像处理用到的标准测试图像，很多图片。(IMP test images。)

带色彩恢复因子的retinex算法，用于处理雾天图像(Recovery factor with color retinex algorithm, used to deal with fog image)

改变图像灰度，增强图像中需要的信息，可利用与分割前处理(Change the image gray level, increase the information)

An efficient way of segmentation, grabcut matlab code. Segment by interaction with human can easy segment object, especially with rectangle

粒子滤波 图像处理程序,内有5个用于图像处理的程序(partical filter)

说明：  一份HDR rendering的code。绝对非常好，是从公司里面偷偷拿出来的(HDR rendering of a code. Definitely very good, is from the company secretly come inside)

集运小波变换的图像去噪，本文采用的是一种改进了的软阈值法去噪，去噪效果更好(Image Denoising Based on Wavelet changing)

图像修复是图像处理的一个重要问题。这是一个困难的问题，同时填写在地区缺少图像信息的纹理和结构。以损坏的图像inpaint失踪的结构和纹理信息，基于小波分解的图像修补算法提出。首先损坏的图像分解成子图像和纹理结构，利用小波子图像转变。然后，地区结构中缺少的信息的子图像重建曲率驱动扩散（CDD），算法，而在同一区域的纹理子图像填写基于改进的纹理合成的典范 最后，恢复的图像，通过重组，结构和纹理恢复的结果。大量的实验表明，该算法可以快速，高效地恢复在同一时间的结构和纹理信息，视觉效果和峰值信噪比比（PSNR）比同类算法更好。(Image inpainting is an important problem image processing. It is a difficult problem to simultaneously fill-in the texture and structure in regions of missing image information. In order to inpaint the damaged image with both missing the structure and texture information, an image inpainting algorithm based on wavelet decomposition is presented. First the damaged image is decomposed into structure sub-image and texture sub-image using the wavelet transformation. Then, the sub-image with the region of missing information in the structure is reconstructed by Curvature-Driven Diffusions (CDD) algorithm, while the same region in the texture sub-image is filled-in with the improved texture synthesis based on exemplar Finally, the restored image is given by recombining the structure and texture restored results. A large number of experiments show that the proposed algorithm can quickly and efficiently restore the structure and texture information at the same time, and the visual eff)