shiyan

基于小波变换的图像拼接。 本程序利用小波变换的原理实现图像的上下，左右以及斜方向的无缝拼接(Wavelet-based image stitching. The procedure to achieve the principle of wavelet transform image from top to bottom, left and right oblique direction and seamless)

Matlab 二进小波变换程序，求取模极大值程序(Matlab wavelet transform into two procedures, to strike maxima procedures)

说明：  本代码利用小波变换，实现了两幅图像的融合，使用了小波分析工具箱wavemenu，使用了小波分析函数wavedec2()进行小波变换(The code using wavelet transform, to achieve a fusion of two images, using wavelet analysis toolbox wavemenu, using wavelet analysis function wavedec2 () wavelet transform)

利用全局去噪和分层去噪实现信号的小波去噪，实现成功(Implementation of wavelet denoising, global denoising and level-dependent denoising)

Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Both contourlets as well as complex-valued dual-tree wavelets are considered for their highly directional representation, while bivariate shrinkage is adapted to their multiscale decomposition structure to provide the requisite sparsity constraint. Smoothing is achieved via a Wiener filter incorporated into iterative projected Landweber compressed-sensing recovery, yielding fast reconstruction. The proposed approach yields images with quality that matches or exceeds that produced by a popular, yet computationally expensive, technique which minimizes total variation. Additionally, reconstruction quality is substantially superior to that from several prominent pursuits-based algorithms that do not include any smoothing

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 refers to the specific subset take scaling and translation on the wavelet transform, is a kind of multi-resolution ability both time domain and frequency domain signal analysis tool. This transformation can use zoom translational wavelet calculation and analysis instead of the fixed window, mainly used in signal coding and data compression. )

实现心电信号的去噪处理以及波形变化，提取信号周期，同时标记波形的起始点和结束点(Denoising ECG waveform changes, signal extraction cycle, at the same time mark waveform start and end points)

利用小波变换对图像去噪，可以运行，并附有详细的说明，本人编写，感觉不错！欢迎共享.(Using Wavelet Transform for Image Denoising, you can run, together with detailed instructions, I prepared, I feel good! Welcome to share.)

数字信号处理C语言程序集。里面包含全部的数字信号处理中各种算法的C程序设计。(Digital Signal Processing C-assemblies. Which contains all of the digital signal processing algorithms in a variety of C programming.)

说明：  近年来，随着互联网的高速发展，网上的多媒体信息也急剧增加，这些多媒体信息以图像为主。如何从浩瀚的图像数据库中快速、准确地找出所需要的图像，己成为一个备受关注的研究课题。有效地组织、管理和检索大规模的图像数据成为迫切需要解决的问题。于是基于内容的图像检索(Content-Based Image Retrieval: CBIR)作为一个崭新的研究领域出现了。 本课题拟研究、分析彩色图像红、绿、蓝三基色直方图的生成、特征提取和相似度等问题，应用图像的颜色信息—三基色直方图对图像进行检索。针对基于颜色的图像检索，本文采用应用广泛的RGB颜色空间来表示图像的颜色特征，对颜色分量进行等间隔量化并形成特征矢量并对特征矢量进行归一化处理，采用图像均匀分块的方法引入图像中色彩所处的位置信息，用距离度量函数进行图像的相似性匹配。在此基础上实现了基于三基色直方图算法的检索系统。 本文的研究和实践对于促进基于内容的图像数据库检索技术的应用具有一定的参考价值和实践意义。 (With the rapid development of Internet, the multimedia information is booming. All this information is mostly images. Effective recognizing, management and searching all these images have been an emergent problem. This has led the rise of a new research and development field: Content-Based Image Retrieval (CBIR). The topics to research, analysis color images red, green and blue color histogram generation, feature extraction and the similarity of the issues, application of the color image- trichromatic histogram of the image retrieval. Based on the color against the static image retrieval, this paper application of a wide range of RGB color space to indicate the color image features, the color components, such as spacing and quantitative characteristics of a feature vector and a normalization of vector processing, using uniform image block the introduction of the method in which the color image Location information, and distance measuring function similar to the image of the match. On)