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这是一份关于数字图像处理半色调打印技术的MATLab源程序。(This is a paper about Halftoning.)

使用PCA和SVD进行数据去噪，利用数据主要的特征向量进行数据恢复和重建(Using PCA and SVD for data denoising)

基于标准遗传算法的摄像头标定程序，内附readme(Standard genetic algorithm based on camera calibration procedures, containing readme)

去散射和边缘增强是水下图像从严重细节损失、颜色偏移和模糊中提取的关键步骤。本文提出了一种增强水下图像对比度和边缘的新方法。(De-scattering and edge enhancing are critical procedures for underwater images which surfer from serious detail loss, color deviation and blurring. In this work, a novel method has been proposed to enhance contrast and edge of underwater images.)

极化SAR图像中的将协方差矩阵数据进行PAULI分解的程序(Polarization SAR images will covariance matrix data Pauli decomposition process)

对彩色和灰度图像双边滤波 保持边缘并滤除噪声(Of color and grayscale images and to filter out the edge of the bilateral filter to keep noise)

去雾算法halcon代码实现

针对杂波环境下的多个机动目标跟踪问题, 本文将多模型概率假设密度 (Multiple-model probability hypothesis density, MM-PHD) 滤波器和平滑算法相结合, 提出了 MM-PHD 前向 – 后向平滑器. 为了避免引入复杂的随机有限集 (Random finite set, RFS) 理论, 本文根据 PHD 的物理空间 (Physical space) 描述法推导得到了 MM-PHD 平滑器的后向更 新公式. 由于 MM-PHD 前向–后向平滑器的递推公式中包含有多个积分(By integrating the multiple-model probability hypothesis density (MM-PHD) filter with the smoothing al- gorithms, an MM-PHD forward-backward smoother is proposed in this paper for tracking multiple maneuvering targets in clutter. To avoid use of complex random finite set (RFS) theory, the backward updated equation of the MM-PHD smoother can be derived according to the physical-space explanation of the PHD)

一个普通的小游戏，没有什么功能，就一个小小的游戏(An ordinary little game, no function, just a garbage game.)

稀疏贝叶斯学习的代码，出自UCLA，大家可以下载看看(sparse bayesian learning)