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matlab 解决散斑图像的重建问题
说明: 解决散斑图像的重建问题,主要是使用了相位恢复算法(to study the picture problem)
- 2020-06-20 01:00:02下载
- 积分:1
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demo_mtjsrc_OxfordFlower_17
此程序为袁晓彤CVPR论文“基于多任务联合稀疏表示的的视觉分类”的主代码部分(The program for Yuan Xiaotong CVPR paper " visual classification with Muti-task joint sparse representation" main code of the parts)
- 2013-09-16 14:06:25下载
- 积分:1
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基于W-SVD的小波数字水印算法
基于W-SVD的小波数字水印算法,包括水印生成、水印嵌入和水印检测,理解SVD奇异值分解算法。(Wavelet digital watermarking algorithm based on W-SVD includes watermarking generation, watermarking embedding and watermarking detection, and understanding SVD singular value decomposition algorithm.)
- 2020-06-28 11:00:02下载
- 积分:1
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359801828_imcompr
SVD程序,用于图像的奇异值分解,SVD程序,用于图像的奇异值分解(SVD procedure for singular value decomposition of the image, SVD procedure for singular value decomposition image)
- 2008-12-19 01:11:14下载
- 积分:1
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key
说明: 实现了基于关键像素点的FLICM图像分割算法,关键像素由局部最大值方法提取。(A FLICM image segmentation algorithm based on key pixels is implemented. Key pixels are extracted by local maximum method.)
- 2020-06-25 09:20:01下载
- 积分:1
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blindwatermark
数字水印程序,包括多分辨嵌入水印、提取水印程序,盲水印嵌入、提取程序,以及滤波攻击和JPEG攻击程序,PSNR和相似度计算公式(MATLAB)(digital watermarking procedures, including multiresolution embedded watermark, watermark extraction procedure, blind watermark embedding and extraction procedures, Filtering and attack and attack JPEG procedures, PSNR and the similarity calculation formula (MATLAB))
- 2007-05-28 13:28:26下载
- 积分:1
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laguerre
生成拉盖尔函数、缔合拉盖尔函数,并根据这两个函数的解析表达式画出若干个拉盖尔-高斯光束模型(Generation of Laguerre functions, associative Laguerre functions, and according to the analytical expression of these two functions to draw a number of Laguerre- Gaussian beam model)
- 2020-09-28 17:57:46下载
- 积分:1
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Image_Steganalysis
国外最近的图像密写论文,提出了YASS以及YASS的改进(Recent image abroad, write the paper closely, and YASS YASS proposed improvements)
- 2010-10-16 10:03:05下载
- 积分:1
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demoBagSVM
一种基于半监督的svm的图像分类方法。该方法通过聚类核的方法利用无标记样本局部正则化训练核的表达式。这种方法通过图像直接学习一个自适应的核。该程序仿真的是文章:Semi-supervised Remote Sensing Image Classification with Cluster Kernels。大家可以参考下。(A semi-supervised SVM is presented for the classification of remote sensing images. The method exploits the wealth of unlabeled samples for regularizing the training kernel representation locally by means of cluster kernels. The method learns a suitable kernel directly from the image, and thus avoids assuming a priori signal relations by using a predefined kernel structure. Good results are obtained in image classification examples when few labeled samples are available. The method scales almost linearly with the number of unlabeled samples and provides out-of-sample predictionsds)
- 2013-09-03 10:44:56下载
- 积分:1
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corner-detection
数字图像处理 哈里斯脚点检测算法实现 图形界面完全 先高斯滤波 在监测角点(image processing Harris coner dection GUssian filter)
- 2014-02-19 21:58:28下载
- 积分:1