资源列表
envi5.0
- ENVI5.0破解文件，使用它可以查看图像灰度-ENVI5.0 crack file, with which you can view the image gray
CSLDS_Demo
- 对于动态场景的压缩感知，把场景模型转换为线性的来进行测量-Compressed sensing for dynamic scenes, the scene is converted to a linear model to be measured
SpaRCS
- 主要介绍了一种新的恢复算法SpaRCS，可以从压缩测量值中恢复低秩和稀疏矩阵-Introduced a new recovery algorithm SpaRCS, the measured value can be recovered from the compressed low-rank and sparse matrix
WAV-LSB-Watermark
- WAV音频的LSB信息隐藏，隐藏文件为二值图像，Matlab编程-WAV audio LSB information hiding, hidden files as binary image, Matlab programming
My_HermitePolynomial
- 计算高斯Hermite多项式的Matlab程序，并绘制2维和3为高斯Hermite多项式图。-Gaussian Hermite polynomial calculation Matlab program, and draw two-dimensional and three Gaussian Hermite polynomial map.
opencv---sift
- 基于opencv的sift图像拼接算法，是特征匹配的一种，具有旋转、平移、遮蔽以及仿射不变形，广泛应用于图像拼接及图像特征匹配中-Based on the opencv sift image stitching algorithm, is a feature matching, rotation, translation, masking and affine deformation, is widely used in image stitching and image feature mat
range-doppler
- 距离多普勒算法的演示程序，采用IDL语言先写的，适合初学雷达成像的同学作为参考应用。-Range-Doppler algorithm demo program using IDL language first written for beginner students as a reference radar imaging applications.
KSVD
- 压缩传感中稀疏字典KSVD算法，能实现信号的稀疏表示，和图像重构-important to image
kdtree
- k-d树的matlab程序，包含了KDTREE, KDTREEIDX and KDRANGEQUERY functions。提供了两个Demo scr ipts(kdtree_demo.m & kdrange_demo.m),很实用- This distribution contains the KDTREE, KDTREEIDX and KDRANGEQUERY functions. Included are the source code files in kdtree/s
VQ
- 使用Splitting算法和GLA算法实现对图像的矢量量化及重新编码和重建。-Vector Quantization:To generate a 16-codeword codebook using Splitting Algorithm and GLA,then use this codebook to code the training image and reconstuct it.
shuzishuiyin
- 音频文件数字水印的嵌入与检出系统设计，代码非常实用，可以直接打开使用，无需做改动-Audio files digital watermark embedding and detection system design, code is very practical, you can directly open use, without making changes
SILTP
- 提取图像纹理描述符，针对LBP特征的不足，该代码具有尺度不变性和对噪声的鲁棒性-Image texture descr iptor extraction, the features of LBP, the code has scale invariance and robustness to noise