all-the-recovery-algorithm

该图像包含了各种细节、平滑区域、阴影和纹理，这些对测试各种图像处理算法很有用。(The image contains a variety of detail, smooth areas, shadows, and textures, which are useful for testing various image processing algorithms.)

说明：  本程序基于Matlab,初步实现图像增强的基本操作,实现 图像明暗度调整， 图像旋转，更改颜色显示方式，直接灰度调整，图像求反，动态范围压缩，显示原始图像直方图，直方图均衡化，滤波增强等功能(This procedure based on Matlab, the initial realization of the basic operation of image enhancement, image brightness adjustment, image rotation, change the color display, direct gray-scale adjustment, for anti-image, dynamic range compression, display the original image histogram, histogram equalization , enhanced features such as filtering)

直方图均衡、小波增强、contourlet变换用作图像增强(Histogram equalization and wavelet enhancement, contourlet transform is used for image enhancement )

主成分分析PCA源代码（C++，matlab）主成分分析PCA源代码（C++，matlab）(Principal Component Analysis PCA source code (C++, Matlab), principal component analysis PCA source code (C++, Matlab))

作为信息隐藏的重要分支，数字水印是一种有效的数字产品版权保护和数据安全维护技术。近年来数字水印技术成为了信息安全领域的研究热点，也得到了较大的发展。基于变换域的水印技术是目前研究的热点和重点。本文系统介绍了数字水印的原理和应用方法，概要介绍了数字水印的几种主流算法，并重点研究了一种基于离散余弦变换(DCT)数字图像水印算法，并借助 MATLAB编程工具，实现数字水印的嵌入和提取仿真，以及为测试鲁棒性而对水印图像进行攻击实验。(As an important branch of information hiding, digital watermarking is an effective copyright protection of digital products and data security maintenance technology. In recent years, digital watermarking has become a hot research field of information security, has also been considerable development. Transform domain watermarking technique based on the current research focus and focus. This system describes the principles and applications of digital watermarking methods, an overview of several mainstream digital watermarking algorithms, and focus on a discrete cosine transform (DCT) digital image watermarking, and with the MATLAB programming tools, digital watermark embedding and extraction simulation, as well as test the robustness of the watermark image on the attack experiments.)

说明：  各种平滑算法验证，除在matlab中验证外，word文档中也有详细说明(various smoothing algorithm validation, in addition to verify Matlab, word documents also detail)

说明：  labview基础视觉识别的东西，讲的很细(The basic visual recognition course of LabVIEW is very detailed.)

说明：  基于灰度共生矩阵的纹理特征提取方法实现目标的识别(Gray-level co-occurrence matrix based texture feature extraction methods to achieve the target identification)

书上的简单DCT图像处理程序，最基本的DCT，简单，价值低(Book on the simple DCT image processing program, the most basic DCT, simple, low value)

基于多帧图像插值（Interpolation）技术的方法是SR恢复技术当中最直观 的方法。这类方法首先估计各帧图像之间的相对运动信息，获得HR图像在非均 匀间距采样点上的象素值，接着通过非均匀插值得到HR栅格上的象素值，最后 采用图像恢复技术来去除模糊和降低噪声（运动估计!非均匀插值!去模糊和 噪声）。(In this paper, we propose a novel method for solv- ing single-image super-resolution problems. Given a low-resolution image as input, we recover its high- resolution counterpart using a set of training exam- ples. While this formulation resembles other learning- based methods for super-resolution, our method has been inspired by recent manifold learning methods, par- ticularly locally linear embedding (LLE). Speci?cally, small image patches in the low- and high-resolution images form manifolds with similar local geometry in two distinct feature spaces. As in LLE, local geometry is characterized by how a feature vector correspond- ing to a patch can be reconstructed by its neighbors in the feature space. Besides using the training image pairs to estimate the high-resolution embedding, we also enforce local compatibility and smoothness con- straints between patches in the target high-resolution image through overlapping. Experiments show that our method is very ?exible )