a-filter

说明：  一个立体系统相机标定，立体图像校正以及三维三角测量的多功能matlab工具箱。压缩包中包括一个PDF说明文档，和一个带有实验用图像的matlab程序压缩包。(A three-dimensional system, camera calibration, stereo image correction, as well as three-dimensional triangulation of multi-function matlab toolbox. Compressed package includes a PDF documentation, and one with an experimental image compression package matlab program.)

单帧图像超分辨率重建。对于学习超分辨率重建很有帮助。(Super-resolution reconstruction of single frame image.It is helpful for learning super-resolution reconstruction.)

通过边缘检测寻找图像上圆点的圆心坐标，可用于大量的图像处理程序(Image through edge detection to find the center coordinates of the dots)

说明：  matlab图像融合，对一幅图像的RGB三通道分别做不同的处理，然后重新融合(Matlab image fusion, an image of RGB three channels to do different processing, and then re-fusion)

一种自适应chirplet分解的快速算法 针对信号自适应chirplet分解未知参数多、实现起来比较困难的特点，文献[1]提出了一种新的chirplet分解快速算法。该算法利用计算信号的二次相位函数，得到其能量分布集中于信号的调频率曲线上的结论，此时通过谱峰检测可同时获得chirplet调频率、时间中心和幅度的估计；然后通过解线性调频技术获得其初始频率和宽度的估计，仿真结果验证了本文算法的有效性。 (Chirplet an adaptive decomposition algorithm for rapid adaptive signal decomposition Chirplet many unknown parameters, is more difficult to achieve the characteristics of the literature [1] proposed a new fast algorithm Chirplet decomposition. The algorithm calculating the signal function of the second phase, its energy distribution to be concentrated in the signal modulation frequency curve on the conclusions, this time through the spectral peak detection can be obtained simultaneously Chirplet tune the frequency, timing and magnitude of the estimated center then through the solution line technology of FM frequency and the width of the initial estimates, the simulation results verify the effectiveness of the algorithm.)

ISAR点目标RD成像算法,距离向包络对齐，多普勒中心相位补偿(Algorithm for ISAR point target imaging)

winform 自定义窗体、控件

该文档的主要功能就是利用vc编写一段代码实现摄像头采集图像。(The main function of the document is vc write a piece of code to achieve the camera capture images.)

使用split bregman算法实现的压缩感知(Compressed sensing implemented by using split Bregman algorithm)

本压缩包包含了图像处理中稀疏表示的相关文献以及相关代码(This archive contains a sparse representation of image processing literature and related code)