搜索资源列表
romp
- 图像处理，压缩感知中ROMP的代码实现。-Image processing, compression-aware in the ROMP of code to achieve.
compressive_sensing
- 压缩感知基本理论：回顾与展望。一篇2010年发表的关于压缩感知基本理论的介绍，很不错。-The basic theory of compressed sensing: Retrospect and Prospect. 2010, published an article on the introduction of the basic theory of compressed sensing, very good.
compressd-sensing
- 压缩感知的发展与应用,这是目前比较热门的研究方向，在医学，图像等领域应用前景广阔。Development and application of compressed sensing-Development and application of compressed sensing, which is the more popular research in medicine, image and other promising areas of application. Development
Compress-Sensing_Apply_5Ref
- 压缩感知的5篇应用文献，包括CS在雷达成像、语音信号处理和图像处理方面的应用，新颖程度有一定参考价值。-5 compressed sensing references, including CS in radar imaging, speech signal processing and image processing applications, the novelty has some reference merits.
CS-of-multi-static-SAR
- 压缩感知在多基地合成孔径雷达中的应用，关于采样相关性与图像重建质量的关系分析-Compressed sensing applications in the multi-base synthetic aperture radar, relationship analysis on sampling correlation with the quality of image reconstruction
Compressive-Image-Super-resolution
- 压缩感知和超分辨率论文，关于如何将低分辨率的图像如何重建成高分辨率图像，很有用-compressed sensing and super resolution
A-global-reconstruction-model
- 已有的基于分块压缩感知的图像重构模型采用相同的测量矩阵以块 ×块的方式获取数据，解决了传统ＣＳ方法中测量矩阵所需存储量较大的问题，但由于采用分块重构，没有考虑 到图像的全局稀疏度，出现了大量的块效应。-Current image reconstruction models using block compressed sensing
CS-for-Texture-Classification
- 基于压缩感知的纹理图像分类，介绍了一种新的高效算法：分类压缩感知。与一般压缩感知及其他方法在四大纹理数据库上对比。有原文献及自己的译文-Introduced a new efficient algorithm based on compressed sensing texture image classification, compressed sensing: Category. Original literature and translation
Compressed-sensing-Profile
- 压缩传感图像。介绍了压缩感知在图像恢复处理方面的应用。-Compressed sensing image . Compressed sensing image restoration processing .
Compressive-Classifier
- 将压缩感知应用到图像分类方面，有详细的源码，下载就能运行-failed to translate
paper5
- 压缩感知理论在图像处理领域的应用.pdf-Compressed sensing theory in the field of image processing applications. Pdf
CS-based-image-fusion
- 基于压缩感知理论的图像整合与图像编码算法研究，学位论文-Based on compressed sensing theory of image integration and image coding algorithm, dissertations
SparseRepresentationaItsApplication
- 稀疏表达及其应用的简单介绍，其中涵盖了稀疏表示、特征提取、压缩感知、图像增强、盲源分离、模式分类、目标跟踪和图像超分辨等。PPT和PDF是对应的，并添加了可视化的结果。-Sparse Representation and Its Application: Compressive Sensing, Visual Feature, Image Enhancement, Blind Source Separation, Pattern Classification, Object Tracking a
compressed-sensing-based-wavelet
- 一篇基于单层小波变换的压缩感知应用于数字图像处理的文章，是本领域一篇高水平论文，为同行的研究提供参考价值。-A perception based on single wavelet transform compression is applied to digital image processing, is a high level of paper in this field, to provide the reference to the research of peer value.
User_Guide_v1.0b
- TVAL3算法的使用手册。TVAL3是一种利用梯度模稀疏性的压缩感知重构算法，恢复平滑图像效果不错。-User_Guide for TVAL3. TVAL3 is s compressed sensing reconstruction algorithm using gradient model sparsity. It can restore smooth image with good result.
Introduction-Compressed-Sensing
- 压缩感知（CS）理论是在已知信号具有稀疏性或可压缩性的条件下，对信号数据进行采集、 编解码的新理论。主要阐述了CS理论框架以及信号稀疏表示、CS编解码模型，并举例说明基于压缩感知理论的编解码理论在一维信号、二维图像处理上的应用。 -Compressed Sensing(CS) theory is a novel data collection and coding theory under the condition that signal is sparse or compress
Reconstructing-3D-Human-Pose
- 单幅图像人体运动3维重建，用到压缩感知的思想，很新颖。-Single three-dimensional image reconstruction of human movement, the idea of compressed sensing is used, very novel.
lectures_CS
- 压缩感知理论的讲座（共8讲），很好的学习资料，含在语音、图像和雷达领域的应用示例。-The lectures regarding compressive sensing consist of 8 articles which indroduce the fundamental and applications on speech,image and radar.
compressed-sensing-paper
- 基于压缩感知的图像处理的文章 很有价值 值得一看-compressed sensing image processing
压缩感知图像重建
- 详细介绍了KSVD、OMP、IRLS 、 Dantzig Selector 、MP 等算法的原理，并在MATLAB平台上编程实现，撰写PPT进行讲解。(The principle of KSVD, OMP, IRLS, Dantzig Selector, MP and other algorithms is introduced in detail, and it is programmed and implemented on MATLAB platform, and PPT is writt