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LPM
- this coding is for multi resolution decomposition of images using daubechies wavelet
featureOfDWT
- Discrete Wavelet Transform，[1]离散小波变换是指在特定子集上采取缩放和平移的小波变换，是一种兼具时域和频域多分辨率能力的信号分析工具。此变换运用可以缩放平移的小波代替固定的窗进行计算分析，主要应用于信号编码和数据压缩-Discrete Wavelet Transform, [1] the discrete wavelet transform is adopted in a specific subset of the zoom and pan on the wavel
OPENCVHELLO1
- 多类型图像bmp,jpg读取以及利用下采样实现高斯金字塔多分辨率图像 -Multi-type image bmp, jpg reading and the use of down-sampling to achieve multi-resolution Gaussian pyramid image
ex_17_5
- 在多分辨率图像中检测植被 通常，分辨率越高，图像描述得就越精准。-Detection in multi-resolution images of vegetation typically, the higher the resolution, the image is described as more accurate.
wavelet-reconstruction
- 重构是用分解得到的多分辨率下的小波系数，将多尺度小波合成原信号.不是分解完了马上重构的，中间可能有去噪的过程啊，压缩的过程.-Reconstruction is under multi-resolution decomposition of the wavelet coefficients, the wavelet multi-scale synthesis of the original signal reconstruction is not immediately broken down
3423
- 高阶时域多分辨率算法在光子带隙结构中的应用.-High-level multi-resolution time-domain algorithm in a photonic band gap structure in the application.
tracing-to-moving-object
- 采用了一种根据灰度特征进行模式匹配的跟踪算法提高了模板匹配法对于目标运动姿 态变化的自适应能力仿真结果表明上述算法在目标方向平移旋转以及图像背景对比度亮度发生改变时均能较好的检测到目标-It is presented in this paper that a modified version of it which incorporating with frame difference and multi-resolution matching. By introducing pre
02-WT-lecture
- ppt on wavelet. The wavelet transform describes a multi-resolution decompositionprocess in terms of expansion of an image onto a set of wavelet basis functions.
215d7cadcba7
- 利用小波分解对两幅图像进行融合，同时利用小波基加权法融合图像-Image fusion is an important application of multi-sensor information fusion to image processing. The images obtained by wavelet analysis , which can f use images with distinctive fea-tures and high resolution together f
Video-processing
- 本程序用于打开AVI格式视频并显示在界面中，并能够对其进行每帧图像处理，需要使用OpenCV2.0作为支持。本程序支持多种分辨率的视频。-This procedure is used to open the AVI format video display in the interface, and be able to each frame image processing, need to use OpenCV2.0 as support. This program supports mul
Iris-feature-extraction-algorithm
- 基于二维小波变换和方向向量，提出一种新的虹膜特征提取方法。该方法的基本思想是考虑虹膜纹理的 灰度变化，对于多层小波分解后的低频分量，分别求其在4个方向上的方向向量，最后形成虹膜码。测试结果表明，该方法能 有效地提高虹膜的识别率，且算法简单、快速。 -The basic principle of the method is as follows.In view of iris textural intensity variation,for the low- frequency c
super-resolution
- 这篇文档主要介绍当前超分辨率研究的状况，研究方法，以及今后的发展方向等。-super-resolution multi-frame
second
- 对于小波多分辨率学习，很好用。对于小波应用信号分析，有很大启发-Wavelet multi resolution analysis for signal detection
yasuo
- 用小波基函数bior3.7完成对二维图像的多分辨率分解，进而完成对图像信息的压缩-Using wavelet basis function of bior3.72D multi-resolution decomposition of image, and then the completion of image information compression
nsct
- 提出一种基于非采样contourlet变换的红外与可见光图像融合方法。高频系数结合活性度量和多分辨率系数间相关性来实现加权融合；低频系数通过局部梯度进行活性度量，再采用加权与选择相结合的规则。-Proposed a contourlet transform infrared and visible image fusion method based on non-sampling. The high-frequency coefficient binding activity to measur
gaga
- 基于小波变换的ECG信号去噪系统设计,在信号采集时，身体的任一微小运动都会产生“基线漂移”，这是一种低频干扰，同时，由于肌电的存在又产生了高频的肌电噪声，由于空间电磁场的存在又使心电信号中混有50Hz的工频干扰。这些噪声不去除，就会影响下一步的信号处理。 综合运用数字信号处理的理论知识进行生物医学信号增强系统设计，实现ECG信号的去噪，从而加深对小波变换及其应用的理解，建立概念多分辨分析的概念，加深理解信号增强的原理、方法和步骤。本设计的主要内容是设计一个基于小波变换的ECG信号去噪系统，
Fwavveletpacci
- 首先，给出了对应于多重多分辨分析的双正交多小波包的定义，建立了具有任意矩阵伸缩的双正交多小波包的理论框架.在此基础上，给出了具有有任意矩阵伸缩的高维不可分双正交多小波包的构造方法.由此构造的多小波包的分分解系数能从不同的滤波器中抽取，这使的小波包的应用更灵活. -Firstly, the definition of biorthogonal multi-wavelet packet corresponding to multiple multi-resolution analysis, th
MRA_Code
- Multi-resolution analysis in MATLAB
nsct
- Contourlet 变换的平移不变性在奇异性方面导致了伪Gibbs 效应。而NSCT是一种平移不变、多尺度和多分辨率的冗余变换，它对滤波器上采样再进行分析和综合滤波，这种滤波器的设计及重构易于实现，能更好地采集频率且具规律性，在图像去噪中得到了广泛的应用。-Contourlet transform translation invariance in singularity aspects led to the pseudo Gibbs effect. And NSCT is a kind o
Android--screen-adaptation
- Android高价值屏幕适配教程，详细介绍android多分辨率，多屏幕适配方法-Android high-value screen adaptation tutorial android multi-resolution, multi-screen adaptation method, described in detail