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针对多聚焦图像融合，本文首先介绍了小波变换融合算法，虽然小波变换方法无冗余，高频分量损失较小，具有较好的融合效果，但存在两个主要缺点：一是移变性，二是融合图像在重构时会受到一些外来因素的影响，所以仍会丢失一些边缘信息，为了克服小波变换法的以上缺点，可以采用基于小波分解和点扩展函数模型PSF相结合的融合方法。该方法首先对不同的图像进行无降2采样的小波分解，以保持与源图像大小相同，然后分别将其各方向、各尺度的高频分量进行叠加，并依此提取其高频分量的特征信息来判定清晰目标或模糊目标，以此来设计融合算法，采用一定的策略将两副源图像进行融合，从而避开了小波的反变换，因此融合后的图像具有比小波变换法更好的融合效果。(multi-focus image fusion, this paper introduces the wavelet transform algorithm, Although the wavelet transform non-redundant, the loss of high-frequency components are smaller, better integration effect, But there are two major drawbacks : First, the shift variability and the second is the integration of image reconstruction will be subject to a number of external factors. Therefore, there would still be some marginal loss of information, in order to overcome the wavelet transform of the above shortcomings, can be used based on wavelet decomposition and the point spread function PSF model combining the fusion method. The first pair of different images ratchet two sampling wavelet decomposition, and to maintain the same source image size. Then all of its direction, the scale of high-freque)

FDK重建算法 希望对其他人能有帮助 用C和cuda 实现的(fdk reconstrcution algorithm using cuda and c source code hope to help others it may be usefull. it is implented by c and cuda)

类似PChunter的内核工具。本工具是应用层的源码。适合内核新手(Similar PChunter core tools. This tool is the source application layer. Suitable for novice kernel)

说明：  模糊分割，基于混沌粒子群以及二维直方图的斜分阈值分割(Fuzzy partition, based on chaotic particle swarm and the oblique two-dimensional histogram thresholding)

简单的bmp图象处理程序，将一个bmp文件中的直线和园改变颜色(Bmp simple image processing procedures, will be a bmp file in a straight line and Park change color)

在已知高度的情况下利用单目视觉摄像头来进行定位。(Positioning with a monocular vision camera at a given height)

利用ADMM和小波进行图像恢复 使用ADMM算法的图像恢复模型，并用到了增广拉格朗日函数和快速傅里叶函数(Using ADMM and wavelet to restore image, using ADMM algorithm to restore image model, and using augmented Lagrange function and fast Fourier function.)

用SAE 深度学习方法做的高光谱图像分析的一个例子。里面有sae方法还有高光谱图像的特征提取过程。(One example of the depth of learning to do with SAE hyperspectral image analysis. There are sae method has hyperspectral image feature extraction process.)

集运小波变换的图像去噪，本文采用的是一种改进了的软阈值法去噪，去噪效果更好(Image Denoising Based on Wavelet changing)

用于荧光光谱的CIE色坐标计算，直接导入光谱txt即可(CIE color coordinate calculation for fluorescence spectrum, directly into the spectrum txt)