搜索资源列表
VC_ImageProcessing
- 《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容:第4章 图像增强(对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强);第5章 图像复原(逆滤波复原、维纳滤波方法);第6章 图像处理中的正交变换(傅立叶变换、离散余弦变换(DCT)、沃尔什变换、基于特征向量的变换、霍特林(Hotelling)变换、SVD变换、小波变换、Mallat算法);第7章 图像压缩编码(霍夫曼(Huffman)编码、算术编码、游程编码(Run Length Codin
supolar
- 1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter for three-component data-1.Polarization analysis and filtering for three-component data2.SUEIPOFI- EIgenimage (SVD) based POlariz
supofilt
- 1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter for three-component data-1.Polarization analysis and filtering for three-component data2.SUEIPOFI- EIgenimage (SVD) based POlariz
makeData
- 1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter for three-component data-1.Polarization analysis and filtering for three-component data2.SUEIPOFI- EIgenimage (SVD) based POlariz
sueipofi
- 1.Polarization analysis and filtering for three-component data 2.SUEIPOFI - EIgenimage (SVD) based POlarization FIlter for three-component data-1.Polarization analysis and filtering for three-component data2.SUEIPOFI- EIgenimage (SVD) based POlariz
imgdenoising
- 均值滤波去噪,中值滤波去噪以及SVD去噪-Mean filter denoising, median filtering and denoising SVD Denoising
an_intellegent_audio_water_marking_based_on_dwt-s
- All three, Discrete Wavelet Transform (DWT) - Singular Value Decomposition (SVD) and Adaptive Tabu Search (ATS) have been used as mathematical tools for embedding data into an audio signal. In this paper, we present a new robust audio waterma
DCT_SVD
- 本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。-This paper presents an original video in the DCT (Discrete Cosine
xinxilun
- 《Visual C++数字图像获取、处理及实践应用》杨枝灵、王开等编著。内容:第4章 图像增强(对比度增强、灰度变换法、直方图修整法、图像平滑、图像锐化、伪彩色和假彩色增强);第5章 图像复原(逆滤波复原、维纳滤波方法);第6章 图像处理中的正交变换(傅立叶变换、离散余弦变换(DCT)、沃尔什变换、基于特征向量的变换、霍特林(Hotelling)变换、SVD变换、小波变换、Mallat算法);第7章 图像压缩编码(霍夫曼(Huffman)编码、算术编码、游程编码(Run Length Codin
mid_filt
- 对一个mat文件中的数据进行滤波后再进行奇异值分解降噪。奇异值降噪方法参考附件中的文献-filtering the data with medfilter and SVD(singular value decomposition)
ImageProcessing-8.0
- 基于VC的图像处理程序 1.空间域灰度变化(线性、非线性)、直方图均衡化以及规格化; 2.空间域的噪音(椒盐、脉冲、高斯噪音等),均值滤波、中值滤波,最大值滤波; 3.频率域的巴斯沃通高低通滤波,余弦变换,walsh变换,SVD编码等; 4.简单的图形编码(hufman编码、香农编码、Golomb编码、算术编码); 5.简单图像复原,涉及逆滤波和维纳滤波; 6.图像分割(这里只有一个大津阈值分割)。-VC-based image processing program 1.
DCT_SVDWatermark
- SVD-DCT based audio watermarking robust to compression, filtering, cropping, Jitter, and other attacks
matrix_factorization
- 基于SVD矩阵分解的协同过滤算法的matlab实现-SVD-based collaborative filtering matrix decomposition algorithm matlab
svdRec
- 用利用SVD提高推荐效果的基于协同过滤的推荐引擎的一个简单的例子,并附加基于SVD的图像压缩例子。-A example of recommendation based on the collaborative filtering and a example of image compression based on SVD.
PlatypusCollaborator
- Linux系统下的SVD方法。应用协同过滤方法实现SVD特征的提取。完成推荐系统的描述。-SVD method Linux system. Collaborative filtering method applied to achieve SVD feature extraction. Complete descr iption of the recommended system.
程序
- SVD分解信号滤波,内含各种信号滤波结果,以及特征值选取(SVD decomposition signal filtering)
svdwm1
- 基于svd的音频水印,加噪、滤波检验鲁棒性(Audio watermarking based on SVD, check the robustness of denoising and filtering)
SVDFLITER
- SVD滤波方法,主要是通过对信号进行奇异值分解,将噪声部分的值归零,再进行信号的重构,顺利地进行滤波。(SVD filtering method, mainly through singular value decomposition of the signal, the noise part of the value of zero, and then signal reconstruction, smoothly filtering.)
Emd_SVD
- 通过峭度指标与互相关系数筛选IMF进行SVD分解去噪(Filtering IMF for SVD denoising by kurtosis index and correlation number)