搜索资源列表
Compressed_Sensing_Theory
- 这是有关压缩感知的书籍，详细表述图像处理的基本知识点-This is a book about the compressed sensing, a detailed presentation of basic knowledge of image processing
Demo_CS_CoSaMP
- 压缩感知CS_CoSaMP图像重构 代码中图像链接根据你所要处理的图像所在位置自行修改，有些图像需要用rgb2gray语句进行灰度图像转换处理，恢复度大约23db左右。-Compressed sensing image reconstruction by CS_CoSaMP
BCS_SPL
- 很好的压缩感知重构算法，分块的基于LandWeber投影的重构算法，效率很高-Good compressed sensing reconstruction algorithm based LandWeber projection reconstruction algorithm chunked, high efficiency
OMP
- 在经典的压缩感知重构算法OMP的基础上，稍微改进，不仅提高了效果，而且大大降低了该算法的运行时间。-Based on the classic OMP compressed sensing reconstruction algorithm based on the slight improvement, not only improve the results, but also greatly reduces the running time of the algorithm.
GP
- 经典的梯度投影压缩感知算法，以DWT为稀疏基。-Classical gradient projection compressed sensing algorithms to DWT sparse groups.
improve-GP
- 压缩感知算法，在梯度投影的基础上进行的改进，取得了很好的效果，以DWT为稀疏基。-Compressed sensing algorithm, improved on the basis of the gradient projection undertaken and achieved good results, with DWT sparse groups.
SP
- 压缩感知重构算法，经典的SP算法，以DWT为稀疏基。-Compressed sensing reconstruction algorithm, classic SP algorithm, DWT is sparse groups.
improve-SP
- 压缩感知重构算法，在经典的SP基础上进行的改进，提高了性噪比，以DWT为稀疏基。-Compressed sensing reconstruction algorithm, improved on the basis of the classic SP carried out to improve the signal to noise ratio, DWT is sparse groups.
dmos_realigned
- 图像质量评价 ssim 结构相似度 人类视觉系统感知-Image quality evaluation ssim structural similarity of the human visual perception system
CSAlgorithm
- 基于压缩感知理论，对同一256*256的lena图像分别用BP，OMP，StOMP进行处理，并作出比较，评价标准主要有PSNR，压缩率和运算时间-Based on compressed sensing theory, the same lena image 256* 256 respectively BP, OMP, StOMP processed and compared, the evaluation criteria are mainly PSNR, compression ratio a
psnr_image
- 1 客观评价 图像质量的客观评价是指用畸变图像偏离原始图像的误差来衡量畸变图像的质量，目前人们最常用的指标是PSNR（李英明，2011，中国图象图形学报）设 和 分别表示原始图像和待评价图像，且有 PSNR值越大，表示畸变图像 和原始图像 越接近，视觉感知越好 -An objective evaluation Objective evaluation of image quality refers to the original image distorted ima
1204.4656
- 压缩感知的一篇文章Fusion of Greedy Pursuits for Compressed Sensing Signal Reconstruction-Fusion of Greedy Pursuits for Compressed Sensing Signal Reconstruction
CSGIv1.1
- 基于压缩感知的关联成像程序，计算鬼成像，过完备稀疏表示-Based on compressed sensing imaging procedures associated with calculating ghost imaging, over-complete sparse representation
Image-reconstruction
- 我上传了一些图像重构算法，其中一些是基于压缩感知重构算法，并且具有良好的重构效果-I uploaded some of the image reconstruction algorithm, some of which are based on compression perception reconstruction algorithm, with good results
Compressive-Holography-Using-MatLab
- 该程序时把压缩感知中的重构算法应用到全息中进行重构。-Compressive Holography Using MatLab
compressive-sensing-and-Wavelet
- 沙威关于压缩感知（包括多种重构算法）和小波变换的程序-compressive sensing and Wavelet and source code
intrdouce-about-compressive-sensing
- 讲述压缩感知的材料以及介绍迭代阈值算法的文章- materials about compressive sensing , and introduces the iterative threshold algorithm
BMS-mex
- 一个基于布尔图的显著性检测模型这个模型利用了全局拓扑测度，这一拓扑测度已经被证明了有助于感知的图形-背景分割。如格式塔心理学研究表明，如下因素很可能会影响图形-背景分割：大小，surroundedness，convexity, symmtry。本文研究surroundedness cue在显著性检测中的应用。 surroundedness的本质是图形和背景之间的enclosure topological relationship，能够被很好地定义，并且对不同的变化具有不变性（不懂）。 为了衡量s
Image-Resizing-and-Cropping-Control
- 一个简单的内容感知图像自适应缩放和裁剪控制程序-An Easy to Use Image Resizing and Cropping Control
elastic-network-CS
- 一种基于弹性网络的混合预测的视频压缩感知方法。-A hybrid prediction based video compression elastic network sensing methods.