gradientImage

说明：  多尺度加权的rentinex算法实现图像增强，里面用到了高斯滤波对图像进行滤波，可以去除大部分的噪声，平滑图像效果较突出，3个高斯尺度对图像做滤波后加权在一起得到多尺度信息的图像。(Multiscale weighted rentinex algorithm is used to enhance the image. Gauss filter is used to filter the image, which can remove most of the noise. The smoothing effect of the image is prominent. Three Gaussian scales are filtered and weighted together to get the multi-scale information of the image.)

说明：  C语言编写的程序,可以对图象进行中值滤波处理,效果不错,联系方式: QQ76947175(c program which can execute medeaval filter.good performance,contact with QQ76947175.)

将DICOM文件转换为BMP文件和将BMP文件转换为DICOM文件(to DICOM conversion of BMP files and BMP file will be converted to DICOM documents)

利用MATLAB进行血管的三维图像重建,充分利用了matlab对大量图片的处理能力(The use of MATLAB to carry out three-dimensional image reconstruction of blood vessels, matlab full advantage of the large number of image processing capability)

一幅大小为256×256的256级灰度图像（每像素8bit） 如果图像的各个像素之间是统计独立的，求该图像的信息熵 -离散无记忆信源 如果图像的各个像素之间不是统计独立的，求该图像的信息熵 -图像像素的概率分布模型(A 256 gray scale image (8bit per pixel) with a size of 256 x 256 If each pixel of the image is statistically independent, the information entropy of the image is calculated Discrete memoryless source If each pixel of the image is not statistically independent, the information entropy of the image is calculated Probability distribution model of image pixels)

说明：  Z. Liang, J. Xu, D. Zhang, Z. Cao, L. Zhang, "A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018.

二维图像视觉显著性检测，效果非常好。California Institute of Technology的 Jonathan Harel写的，很经典。(Two-dimensional image saliency detection, the effect was very good. California Institute of Technology' s Jonathan Harel written, very classic.)

使用ssd深度学习方法来实现生活中想要识别的目标(Using SSD in-depth learning method to achieve the goals you want to identify in your life)

说明：  基于matlab的多帧图像超分辨重建。可以自行下载下来直接运行。(Multi frame image super-resolution reconstruction based on MATLAB.)

用matlab实现了图像通信中的全搜索算法与三步搜索算法这两种运动估值算法，给出了运动矢量图，对两种方法的计算复杂度和搜索性能进行了客观的比较。(Matlab image communication achieved by the full search algorithm in the three-step search algorithm with the two motion estimation algorithms, given the movement vector, the computational complexity of both methods and the search performance of objective comparison.)