unwrapfile

计算一幅图片参数的程序合集（信息熵、对比度、平均亮度、清晰度）(informationentropy,constrast,luminosity,avegrad)

说明：  褶积模型正演模拟，非常好用，非常好用，非常好用！(Forward simulation of convolution model ,very good!)

图像混色源码例程,程序结合易语言应用接口支持库和位图操作支持库，调用API函数实现图像的混色效果。(Source image blending routines, combined with easy language application program interface to support libraries and bitmap operations support library , call the API functions for image blending effect .)

说明：  该gui函数基本上包括图像处理里面的最基本处理，相当于一个小型photoshop。比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，DCT，DST，DHT，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；图像增强里面的加噪声，平滑，锐化，伪彩色增强；图像分割里面的灰度阈值法，Robert，Laplace，sobel，prewitt，canny算子边缘检测法；图像恢复里面的直接逆滤波，维纳滤波；图像编码里面的霍夫曼编码，行程编码等等(Basically, the gui functions including the most basic image processing inside the handle, which is equivalent to a small photoshop. For example, read the document, the geometric transformation of the vertical mirroring, shifting, rotating, zooming orthogonal transformation of the DFT, FFT, DCT, DST, DHT, DWashT anti-gray color processing, histogram equalization, global linear transformation , piecewise linear transformation, index of non-linear transform of the number of non-linear transformation image enhancement which increases the noise, smoothing, sharpening, pseudo-color enhancement the gray-scale image segmentation inside the threshold, Robert, Laplace, sobel, prewitt, canny edge detection operator method image restoration inside direct inverse filtering, Wiener filtering image coding inside the Huffman code, and so on Run-Length Coding)

图像配准，利用互相关的方法进行图像配准，能达到良好效果(Image registration, the use of the cross-correlation method of image registration, and can achieve good results)

关于图像融合的评价标准的MATLAB源代码。(Image Fusion on the evaluation criteria of the MATLAB source code.)

提供了两种光照补偿的方法进行比较，一种是参考白，一种是非线性补偿，并添加了直方图比较和参考文档。(Offers two illumination compensation methods were compared, one is the reference white, one is non-linear compensation, and adds a histogram comparison and reference documentation.)

滑动聚束FMCW_SAR的子孔径成像算法Spotlight FMCW_SAR sliding sub-aperture algorithm(Spotlight FMCW_SAR sliding sub-aperture algorithm)

大连理工大学卢湖川教授团队显著性检测方法4(Visual Tracking via Probability Continuous Outlier Model)

这是一个经典的马尔科夫场程序。算法详细，而且里面含有一篇与程序对应的文献，解释非常详细，程序非常好用(This is a classical Markov field program. Algorithm is detailed, but it contains a corresponding literature and procedures, explaining in great detail, the program is very easy to use)