ENVI_Histogram_Match

已知对应点，可以求出仿射变换。只需要三个点就可以。(Known corresponding points, affine transformation can be obtained. Only need three points as you can.)

通过高通滤波器实现对图像的锐化处理，能去除不需要的模糊轮廓而加强边缘的对比度。(Image sharpening to achieve through a high-pass filter, and enhance the contrast edges blurred outline can remove unwanted.)

用SAV函数实现分析图像数据的实用程序，功能上基本可以实现的。(with HBV Function analysis of image data of practical procedures, the basic function can be realized.)

matlab结合GPU的资料，初学者可以看看，很不错的解释,适合参考(matlab GPU combined data, beginners can see, very good explanation for the reference)

图像复原代码以及例程，内容很丰富详细。针对于图像盲复原，估计模糊核k，得到复原的清晰图片(The image restoration code and routines are rich and detailed.)

在高斯混合噪声背景下实现SLIM谱估计算法和l1范数SLIM谱估计法，并在-5到15的信噪比条件与CRLB对比均方频率误差(the paper achieves the SLIM spectral estimation algorithm and l1-SLIM spectral estimation method under the Gaussian mixture background noise,then compares the mean square frequency error with CRLB under SNR from-5 to 15 )

说明：  实现 %1、利用RGB模型识别天空区域；2、利用边缘识别检测天空边缘分割线；3、利用预测边缘点和实际边缘点的周围区域的均值滤波与本边缘点下方的像素之间的差异大小来修正天空边缘分割线 %4、将sky_seg+depthmap_v2中多余的带注释的地方删掉了 %！！！记得在295行，一定要改动是用I6还是I7，如果用sky_initia(f = edge(double(BW),'canny',thresh,sigma);)

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)

压缩感知重构算法--固定点延拓法，用于大规格图像重构处理(Compressed sensing reconstruction algorithm- a fixed point continuation method for large size image reconstruction process)

利用NSCT对脑CT图像增强的例子 ，代码可编辑，本例为适用于灰度图像(Using NSCT for brain CT image enhancement example, the code can be edited. This example applies to grayscale images.)