huffman

说明：  matlab图像去模糊算法代码，使用两倍长度的点扩散函数进行维纳滤波，模糊图像加入随机噪声，计算噪声信号功率比，使用噪声能量和图像一维自相关函数进行维纳滤波，模糊后的图像，减小噪声能量进行规则化滤波，增大拉格朗日乘子进行滤波，继续对恢复的图像反卷积，产生模糊图像，最初的PSF，显示最初PSF下恢复的PSF。(MATLAB image deblurring algorithm code, using double-length point spread function for Wiener filtering, adding random noise to blurred image, calculating noise signal power ratio, using noise energy and image one-dimensional autocorrelation function for Wiener filtering, blurred image, reducing noise energy for regular filtering, increasing Lagrange multiplier for filtering, continue to restore the image. Like deconvolution, a blurred image is generated. The original PSF displays the restored PSF under the original PSF.)

基于MATLAB，使用分水岭的细胞分割方法，同时可以利用这方法，进行细胞计数(Based on MATLAB, the use of watershed cell segmentation method, at the same time can make use of this method, the cell count )

matlab代码 用改进的八点算法求基础矩阵，进而求本质矩阵及相机外参。(improve eight)

粒子滤波算法的实现，其中重采样采用残差重采样算法。(Particle filter algorithm, in which the use of residual resampling resampling algorithm.)

选择合适的样本特征点，然后可以将特征导入svm进行分类(After the image processing, the main information is obtained by PCA transform, and then the feature of texture information selection is put forward)

随着视频的播放进行眼球追踪，如果眼镜反光会影响正确率(eyeball tracking in video p.s. note that the reflection of glasses may influence the performance)

超像素分割图像，将彩色图像转化为CIELAB颜色空间和XY坐标下的5维特征向量，然后对5维特征向量构造距离度量标准，对图像像素进行局部聚类的过程(simple linear iterativeclustering)

在知道清晰图像和噪声频率特性的情况下，维纳滤波器被看做是一种有效的图像复原技术(In that resolution images and noise frequency characteristics of the case, the Wiener filter is seen as an effective image restoration technique)

随着红外成像技术的发展，红外小目标检测在军事领域有越来越重要的应用。以此为背景，研究了天空、海面、大地等各种背景下红外视频中弱小目标的检测问题。 (With the development of infrared technology,dim small targets detection play a more and more important part in the military. The problem of dim small targets detecting in a infrared video with the background of the sky,the sea and the groundhas been studied. )

在单层模糊图像增强算法的基础上的一种改进图像分割分法(In the single-layer fuzzy image enhancement algorithm based on a points system to improve image segmentation)