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This is an implementation of a ACCV 2010 paper, Exploiting Self-Similarities for Single Frame Super-Resolution.

操作简单，实现双目视觉下的三维重建，输入双目下两张图片，生成渲染后的重建结果。(Simple, to achieve a three-dimensional reconstruction under binocular vision, binocular enter under two pictures, generated reconstructions rendered.)

MATLAB的一个源文件。用差分直方图位移的可逆数字水印实现图像的完整性认证。(MATLAB as a source file. Histogram using differential displacement reversible digital watermarking images realize the integrity of certification.)

matlab 实现暗通道去雾算法 根据cvpr论文改编(matlab channel to achieve the dark fog adaptation algorithm based on cvpr papers)

使用二维经验模态分解进行图像的去噪操作，内含三幅测试图片和说明文档(Using Bi-dimensional Empirical Mode Decomposition for image denoising operation)

光流法、帧间差分法、高斯背景模型差分法，在opencv环境下实现运动目标检测(moving objective detection matlab)

说明：  K近邻(KNN)平滑滤波器算法，包括椒盐噪声和高斯白噪声下平滑处理的结果(K-Near Neighbor (KNN) Smoothing Filter Algorithms, Including Smoothing Processing Results under Salt and Pepper Noise and Gauss White Noise)

多聚焦图像融合代码，主要包含了方差法和最大系数法融合(Multi-focus image fusion code, mainly includes the variance method and the maximum coefficient fusion)

数字图像处理(Digital Image Processing)是通过计算机对图像进行去除噪声、增强、复原、分割、提取特征等处理的方法和技术。 [1] 数字图像处理的产生和迅速发展主要受三个因素的影响：一是计算机的发展；二是数学的发展（特别是离散数学理论的创立和完善）;三是广泛的农牧业、林业、环境、军事、工业和医学等方面的应用需求的增长(Digital Image Processing (DIP) is a method and technology of removing noise, enhancing, restoring, segmenting and extracting features from images by computer. [1] The emergence and rapid development of digital image processing are mainly influenced by three factors: first, the development of computer; second, the development of mathematics (especially the establishment and improvement of discrete mathematics theory); third, the growth of the demand for extensive applications in agriculture, animal husbandry, forestry, environment, military, industry and medicine.)

在Matlab平台下实现人脸检测的一个程序(In Matlab platform to achieve a face detection process)