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ImageTool
图像处理 二值化 旋转 90 180 等,支持多种 图片(图像处理 二值化 旋转)
- 2012-05-04 15:26:20下载
- 积分:1
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1
说明: 图像处理的位图操作,256色转为灰度图,图像处理入门源程序(Bitmap image processing operations, 256-color to grayscale, image processing, entry-source)
- 2010-06-02 21:11:10下载
- 积分:1
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xaiobo
基于小波的视频图像压缩研究进展 基于小波的视频图像压缩研究进展(Wavelet-based video image compression research progress)
- 2012-02-04 00:38:19下载
- 积分:1
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DigitalImageProccessexperiment
Matlab环境下的几个数字图像处理实验,包含图像灰度变换、直方图均衡化、直方图匹配、邻域平均、局域增强、中值滤波、图像的锐化等(Several digital image processing experiments, including gray transform, histogram equalization, histogram matching, neighborhood average, local increase, median filtering and image sharpening, etc.)
- 2021-02-01 10:10:02下载
- 积分:1
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fastdeconv
图像反卷积
来自D. Krishnan, R. Fergus中提到的方法(image deconvolution
The Matlab functions in this directory solve the deconvolution problem in the
paper D. Krishnan, R. Fergus: "Fast Image Deconvolution using
Hyper-Laplacian Priors", Proceedings of NIPS 2009.
)
- 2012-08-20 09:55:39下载
- 积分:1
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image_processing3
图像工程作业3:基于视词袋模型的场景识别 (Scene recognition with bag of words)(Image Engineering Job 3: Scene Recognition Based visual bag of words (Scene recognition with bag of words))
- 2021-04-20 16:58:50下载
- 积分:1
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TVMMcode
基于TV正则化算法的图像去噪重构,包含有论文说明,及代码实例(Reconstruction based on TV regularization algorithm for image denoising,containing the paper description, and examples)
- 2012-05-21 23:31:50下载
- 积分:1
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CepstrumPWiner
针对散焦模糊图像,用matlab实现了先基于倒谱相关性对PSF的参数估计,再用维纳滤波实现复原的算法。(Defocus blurred image using matlab first estimated based on the parameters of the cepstrum on PSF, and then the Wiener filter recovery algorithm.)
- 2012-06-19 21:03:14下载
- 积分:1
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huffman
说明: 对图像进行哈夫曼编码并且能够解码,可以在命令行中选择图像地址(Huffman encoding and decoding of images)
- 2019-04-08 20:49:14下载
- 积分:1
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pcacode
程序设计步骤:
1、去均值
2、计算协方差矩阵及其特征值和特征向量
3、计算协方差矩阵的特征值大于阈值的个数
4、降序排列特征值
5、去掉较小的特征值
6、去掉较大的特征值(一般没有这一步)
7、合并选择的特征值
8、选择相应的特征值和特征向量
9、计算白化矩阵
10、提取主分量(Programming steps: 1 to mean 2, calculation of covariance matrix and its eigenvalues and eigenvectors 3, the calculation of covariance matrix eigenvalues greater than the threshold number of 4, in descending order of eigenvalue 5, remove the smaller eigenvalue 6, remove the larger eigenvalue (usually not this step) 7, the combined choice of eigenvalues 8, select the appropriate eigenvalues and eigenvectors 9, computing whitening matrix 10, principal component extraction)
- 2008-07-14 16:25:23下载
- 积分:1