NSCTTDPCACYCLEMODULE

此程序为matlab的噪声添加程序，可添加周期函数的噪声(matlab for noise adding)

基于离散余弦变换的水印程序，大家看看有没有可以改进的地方(Discrete cosine transform-based watermarking process, everyone can see if there is any improvement)

常见的几种去噪方法，维纳滤波器，均值滤波各种滤波(Extension of Phase Correlation to Subpixel Registration %Implementation of: % Extension of Phase Correlation to Subpixel Registration)

在进行图像显著性分析时，要通过PR曲线进行比较不同方法的好坏，这个源码可以实现此功能。(Significantly during image analysis, through PR curves comparing different methods is good or bad, this source can achieve this functionality.)

MICC-F220.zip matlab ..............

鼠标滑动截图，截图后 点击winform其它位置 则将图片黏贴到相应位置

三种改进的图像增强算法，包括改进的类拉普拉斯增强算法，混合式MSRCR彩色图像增强算法，区域自适应反锐化掩模图像增强算法。(Three improved image enhancement algorithms, including improved classes, Laplace enhancement algorithms, the hybrid MSRCR Color Image Enhancement algorithm, region adaptive unsharp mask image enhancement algorithms)

本程序可实现维纳滤波，可应用于反褶积等反问题的求解过程中，是非常简单实用的(This program can be realized Wiener filter can be applied to deconvolution inverse problems and the process is very simple and practical)

图像的阈值分割，基于matlab的一维非广延熵Tsallis熵算法的灰度图像分割(Image segmentation, matlab-based one-dimensional non-extended entropy Tsallis entropy algorithm gray-scale image segmentation)

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)