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对矩形件的排样过程进行编码实现，通过visual c++(layout problem)

陆吾生教授的压缩感知材料，PPT格式，开始学习基础知识的同学有帮助。(Professor Lu Wusheng compressed sensing materials, PPT format.)

离散傅里叶变换、离散余弦变化、离散小波变换(Discrete Fourier transform, discrete cosine transform and discrete wavelet transform)

Retinex理论的基础理论是物体的颜色是由物体对长波（红色）、中波（绿色）、短波（蓝色）光线的反射能力来决定的，而不是由反射光强度的绝对值来决定的，物体的色彩不受光照非均匀性的影响，具有一致性，即retinex是以色感一致性（颜色恒常性）为基础的。不同于传统的线性、非线性的只能增强图像某一类特征的方法，Retinex可以在动态范围压缩、边缘增强和颜色恒常三个方面打到平衡，因此可以对各种不同类型的图像进行自适应的增强。(The basic theory of Retinex theory is the color of the object by object for the long wavelength (red), medium (green), short wave (blue) light reflection ability to decide, rather than by the intensity of reflected light of the absolute value to decide, the color of the object under illumination nonuniformity effects, consistent with the Retinex, that is based on color constancy (color constancy based). Different from the traditional linear, nonlinear image enhancement method of only one kind of features, Retinex can be in dynamic range compression, edge enhancement and three aspects of color constancy hit the balance, thus enhancing adaptive to a variety of different types of images can be.)

这是文章Nonlocally Centralized Sparse Representation for SR的代码(this is the code of Nonlocally Centralized Sparse Representation for SR)

说明：  计算机图形学ppt， 介绍计算机图形学基础(Computer graphics ppt, introduced the basis of computer graphics)

说明：  图像处理基础程序,主要针对遥感影像处理。内含各种基础处理源码(matlab ,imagine analisy)

说明：  使用openmv实现人脸识别。。。。。。。。。。。。。。。。。。(Face recognition is a kind of biometric technology based on facial feature information. A series of related technologies, also known as portrait recognition and face recognition, that use cameras or cameras to collect images or video streams containing faces, and automatically detect and track faces in the images, and then perform face recognition on the detected faces.)

二维图像的处理，包括加入高斯噪声，椒盐噪声，滤波处理。(Two-dimensional image processing, including Gaussian noise, impulse noise, filtering.)

说明：  本程序为傅里叶变换，给定初始时域波形，可得到对应频域波形。可出图(The program is Fourier transform. Given the initial time-domain waveform, the corresponding frequency-domain waveform can be obtained. Drawing out)