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cedif
改进后的非线性各向异性扩散用于图像中的保边去噪，增加了二阶导数，是滤波效果更好(Improved nonlinear anisotropic diffusion for edge preserving image denoising, an increase of second derivative, is a better filtering effect)
- 2010-09-28 16:21:59下载
- 积分：1
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abc
八种图像置乱方法：希尔伯特变换、采样置乱、ZIGZIG置乱、等等等等(Eight kinds of image scrambling method)
- 2012-01-10 21:03:36下载
- 积分：1
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envifile2tif
将ENVI格式转换为tiff格式的IDL源代码，放在扩展程序下使用(Converts ENVI format to tiff format of IDL source code, under the extension)
- 2020-11-08 14:59:47下载
- 积分：1
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open-file
说明： ① 打开图片文件；
② 实现图像的放大、缩小功能；
③ 实现图像的黑白处理。
(black setting
open file)
- 2011-04-12 21:45:55下载
- 积分：1
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语音
自编语谱图函数，可实现基本的spectrogram功能(Self compiled spectral function, which can implement basic spectrogram functions)
- 2018-03-29 14:50:38下载
- 积分：1
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jpeg2000
说明： 本部分源码是处理静态图像时候，需要的一部分代码，希望对于那些正在研究图像处理技术的朋友有用。(This section is the source when dealing with a static image, the need for part of the code, I hope for those who are studying image processing technology useful friends.)
- 2008-12-02 19:29:41下载
- 积分：1
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WaterMarker
一个小巧的图片水印工具，可在图片的指定位置写入文本，文本字体可调(A small picture watermark tool)
- 2012-10-10 00:08:12下载
- 积分：1
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pwls
说明： PWLS算法主要用于CT重建前的投影数据处理，能够很好的用于CT迭代算法中，对图像进行去噪(PWLS algorithm is mainly used for projection data processing before CT reconstruction. It can be well used in CT iterative algorithm to denoise images.)
- 2020-10-29 10:49:57下载
- 积分：1
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POCS-SuperResulution
说明： 用POCS方法对图像进行超分辨率重构，matlab源码，有解释(POCS method using super-resolution reconstruction of images, matlab source code, to explain)
- 2021-03-19 19:39:19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
