encrypt-a-decrypt

高通高斯滤波，LBP，LDP的matlab源代码，用于图像的增强，特征提取。(High-pass Gaussian filter, LBP, LDP matlab source code for image enhancement, feature extraction.)

Elad 《Sparse and Redundant Representations 》一书中的代码，关于稀疏理论，介绍的比较系统

说明：  几个白平衡程序，都能运行出来，可以用于水下图像偏绿偏蓝现象的颜色调整(Several white balance programs can be run)

说明：  对于双基地SAR，使用BP算法进行成像，展示场景、回波信号、距离压缩后以及最后成像的图像。(For Bistatic SAR, BP algorithm is used to image the scene, echo signal, range compression and the final image.)

说明：  Jpeg算法源代码，包含jpeg的各种算法实现的vc++的源代码(Jpeg algorithm source code, including the various algorithms jpeg of vc++ source code)

形态学方法区域分割，利用区域生长算法，实现区域分割(Morphological method for region segmentation and region growing algorithm for region segmentation)

indexation suit tuto of indexation for images

将原始载体图片经过一维冗余离散小波变换分成四个子频带，分别对每个子频带进行奇异值分解， 将水印图片灰度值直接按比例缩小嵌入到奇异值矩阵中，再将此矩阵进行一次奇异值分解得到奇异值当做此子带的奇异值， 重建此子带矩阵，而后将进行反冗余离散小波变换得到嵌入载体后的水印图像。(The original image after the one-dimensional vector redundant discrete wavelet transform is divided into four subbands, respectively, of each sub-band for the singular value decomposition, the watermark image gray value scale down directly embedded into the matrix singular value, then this matrix is ​ ​ a Singular value decomposition singular value as the singular values ​ ​ of this sub-band, the reconstruction of this sub-band matrix and after anti-redundant discrete wavelet transform watermark image after embedding the carrier.)

说明：  色彩转移法为灰度图像上色。实现paper“Transferring color to grayscale image”, 通过纹理匹配，找出灰度图像与彩色图像之间的匹配区域，在对应区域进行颜色转移。压缩包内附函数说明。(Color to grayscale color transfer method. To achieve paper &quot Transferring color to grayscale image&quot , by texture matching, gray images and color images to find the matching between the regions, the color shift in the corresponding area. Archive containing the function description.)

说明：  小波变换是图像的多尺度、多分辨率分解，它可以聚焦到图像的任意细节，被称为数学上的显微镜。近年来，随着小波理论及其应用的发展，已将小波多分辨率分解用于像素级图像融合。把两个正交偏振的图片融合(Wavelet transform is the multi-scale and multi-resolution decomposition of an image. It can focus on any detail of the image and is called the mathematical microscope.In recent years, with the development of wavelet theory and its applications, wavelet multi-resolution decomposition has been applied to pixel-level image fusion)