基于图象小波变换的图象编码的经典算法SPIHT(Matlab)

这是一个实现各种颜色空间转换的程序，内含多种颜色之间的转换(this is a programme implementing color space transform,including many transforms of diffrent color spaces.)

说明：  对不同噪声强度的加噪图像，用粒子群优化算法优化结构元素，找到最优结构元素，对图像进行去噪操作，使恢复的图像达到最大峰值信噪比(Noise intensity for different images with noise, using particle swarm optimization algorithm to optimize the structure elements, find the optimal structure element, the image de-noising operation to restore the image to a peak signal to noise ratio)

在图片上进行热点编辑，可进行区域的连接设置(Hotspot on the image editor, in the area can be connection Settings)

说明：  全变分模型主要是依靠梯度下降流岁图像进行平滑处理的模型,希望在图像的内部对图像进行平滑,使得相邻像素的差值较小(The total variation model is mainly based on the gradient descent flow year image smoothing model, hoping to smooth the image inside the image, so that the difference between adjacent pixels is small)

基于SVD的图像复制粘贴篡改检查算法源代码，仅供参考(svd-based image copy and paste tamper check algorithm source code, for reference only)

说明：  这个压缩包里只要给出了边缘保持系数和等效视数的计算方法(This compression is given as long as the edge of the bag to maintain the equivalent depending on the number of coefficients and the calculation of)

[Wang 2011]The Meaning of Interior Tomography

图像匹配最新的源码 matlab 适合初学者和进阶者作者hongshengli (The latest source of image matching matlab for beginners and advanced by Author hongshengli)

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

基于主成分分析的遥感图像融合算法，融合结果质量较好。(The fusion algorithm of remote sensing image based on principal component analysis has better fusion result.)