gray2rgb

SSIM函数。一种衡量两幅图像相似度的新指标，其值越大越好，最大为1。(SSIM function. A measure of image similarity two new indicators, the greater its value better, a maximum of 1.)

说明：  图形界面计算psnr和ssim，直接输入原始图像和处理后的图像的psnr和ssim值，分别在Y通道和RGB通道(The graphical interface calculates PSNR and ssim, and directly inputs the PSNR and SSIM values of the original image and the processed image in Y channel and RGB channel, respectively)

计算一幅灰度图像的直方图；进行简单的线性变换，并与源图像的直方图做变换；利用直方图均衡化进行图像增强(Calculating a gray-scale image histogram simple linear transformation, and to do with the source image histogram transformation the use of histogram equalization for image enhancement)

该算法首先通过字典学习得到含噪图像的冗余字典，然后对相似的图像块进行聚类构成块群，并通过迭代收缩和L1正则化约束，对同类的图像块在字典上进行稀疏表示，以达到降噪的目的。实验结果表明，在常规的图像处理上，本文提出的算法能较好的保留图像的结构信息，与K-SVD和BM3D等现有的流行算法相比，具有更高的峰值信噪比（PSNR）(It firstly get the redundant dictionary of a noised image by dictionary learning.Then,the image patches are gathered according to their similarities.Meanwhile,the similar patches get sparse representation showed in dictionaries by iterative shrinkage and L1 regularization constraints and eventually the image is restored and noise is removed.The experimental results indicate that the proposed algorithm can well preserve the structure information of the common image with a higher Peak Signal to Noise Ratio(PNSR),compared with state-of-the-art algorithms,such as K-SVD and BM3D)

利用SBS产生任意形状滤波器,例如矩形滤波器，高斯型滤波，超高斯滤波器等(SBS to generate arbitrary shape filter, such as a rectangular filter, Gaussian filter, super-Gaussian filter)

传统的HSV空间颜色特征提取算法，量化为8H3S3V.(HSV color space for the traditional feature extraction algorithm, to quantify 8H3S3V.)

susan实现图像的角点检测,调用的详细说明在源代码内有注释.()

说明：  中值滤波 去燥MATLAB代码 可直接用 可直接用 可直接用(Wavelet de-drying MATLAB code Can be used directly Can be used directly Can be used directly)

基于压缩感知与小波变换的图像处理，图像融合等程序(Based on compressed sensing and image processing, wavelet transform image fusion procedures)

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)