muller

用于压缩感知技术重建，本方法是滤波重建算法(Compressed sensing technology for the reconstruction, the reconstruction algorithm is to filter)

自己写的用开闭眼模板法判断一个眼睛的开闭状态，前提是需要去定位眼睛(Wrote it myself with open eyes closed, a template method to determine the state of opening and closing the eyes, the premise is the need to positioning the eyes)

very useful toolbox for the matlab user

说明：  数字图像处理：阈值分割及形态学处理，本程序出色的完成了图形提取，内容包括程序，讲解和运行结果(Digital image processing: segmentation and morphology threshold treatment, the procedure was completed excellent graphics extraction, including procedures and operations on the results of)

一般自然图像的梯度分布符合重尾分布，重尾分布也就是超拉普拉斯分布，根据这个特点进行图像复原。(The gradient of a natural image in line with heavy-tailed distribution, which is ultra-heavy-tailed distribution Laplace distribution, image restoration based on this feature.)

空间域图像处理，图像增强。计算相关，卷积，高斯平滑等滤波图像处理代码。(Spatial domain image processing, image enhancement. Computation, convolution, gaussian smoothing image processing such as filtering code.)

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说明：  两种基于非下采样变换图像去噪方法，效果比contourlet变换要好(Two transform based image denoising nonsubsampled method, the effect is better than contourlet transform)

使用IDL实现对ENVI所支持的影像文件格式的数据拼接，不用打开栅格，从而避免内存消耗过大(IDL data stitching ENVI image file formats supported, do not open the grid, in order to avoid memory consumption is too large)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)