huffman-coding

《信息隐藏实验教程》源代码，希望对大家有所帮助(" Information Hiding experimental course," the source code)

基于统计算法的红外图像非均匀性矫正算法，场景类算法，实现实时校正(IRFPA NUC)

连接边缘算法提取的孤立点，实现图像边缘连接(link the point to get edges in the image )

手持式摄像机在使用时常常会受到使用者有意无意抖动的影响,从而影响成像效果，造成录制视频的不稳定及跳动问题，尤其是在使用者在一场景中特写或者跟踪某一具体目标时，使用者通常不能准确定位到或者估计出运动目标的位置，从而造成目标在视频中位置的不稳定，造成视频的主观效果变得不理想。 为了解决这一问题，我们需要设计一种算法来识别这种无意义的运动并设法通过补偿的方式来使得场景中的目标物体保持位置稳定的状态。 手持式摄像机捕获的视频通常都会受到抖动的影响，这严重的影响视频的主观效果。 这里提出的算法可以可靠的用于数字视频的去抖动。这个算法通过识别这些意外的抖动并且利用运动补偿的方法来获得一个较好的视频输出。 这个系统可以分为三个模块：（1）运动估计模块；（2）抖动识别模块；（3）运动补偿模块。 注：代码在matlab 7.7.0(R2008b)运行通过 [1] F Vella, A Castorina, M Mancuso. Digital image stabilization by adaptive block motion vectors filtering, IEEE Transactions on Consumer Electronics, 2002(Handheld cameras are often used by the user intentionally or unintentionally, the influence of jitter affect the imaging results, resulting in instability and beat the problem of recording video, and especially in the user in a scene close-up or tracking a specific target,users often can not accurately navigate to estimate the location of the moving target, resulting in the subjective effects of target location of the instability in the video, resulting in video not ideal. In order to solve this problem, we need to design an algorithm to identify such a meaningless exercise and try to make the object in the scene to keep the position stable state by way of compensation. The handheld camera captured video usually subject to the influence of jitter, the subjective effect of which seriously affect the video. The algorithm proposed here can be reliably used for digital video to jitter. This algorithm by identifying the jitter of these accidents and the use of motion compensation m)

活动轮廓算法中的一类-几何轮廓算法，又称Levelset水平集算法，关于该算法的Matlab源码（包含一个test实例）(Active contour algorithm for a class- the geometric contours algorithm, also known as Levelset level set algorithm, algorithm on the Matlab source code (including a test instance))

本程序包括了三个程序，L1范数正则化，L2范数正则化，Tikhonov正则化超分辨率重建。经反复测试，没有BUG。(The program includes three procedures, L1 norm regularization, L2 norm regularization, Tikhonov regularization super-resolution reconstruction. After repeated testing, no BUG.)

说明：  SVM分类用于高光谱遥感图像分类、预测....................(SVM classification for classification and prediction of hyperspectral remote sensing images)

说明：  基于hessian矩阵的frangi血管增强算法(An algorithm of vascular enhancement based on Hessian matrix)

图像重建算法当中的FDK、ART和TV算法，以及算法评估的SSIM和MSE的评估代码(FDK, ART and TV algorithms in image reconstruction algorithms, and the evaluation codes of SSM and MSE for algorithm evaluation)

把分裂Bregman方法运用到图像处理中，发现这种方法比以前去模糊方法要好很多。(To split Bregman method applied to image processing, and found that this method defuzzification method is much better than before.)