K-cluster Based Reconstruction for Compressive Sensing

摘要：

In this paper, we extend the existing CS by including the prior knowledge of K-cluster valued intensities available for an image. In order to reduce the measurement numbers, we then propose in this paper K-cluster based reconstruction approach for Compressive Sensing (CS), by incorporating the K-means algorithm in recovery algorithm to model the prior of K-cluster valued intensities for digital images. Finally, the performance of conventional CS and K-cluster based CS is evaluated using some natural images and background subtraction images.

作者: Mai Xu Jianhua Lu

作者单位: Department of Electronic Engineering, Tsinghua University

会议类型: 国际会议

会议名称: 2011年无线通信与信号处理国际会议(WCSP 2011)

会议地点: 南京

会议语种:英文

页码: 1-5

在线出版日期: 2011-11-09（万方平台首次上网日期，不代表论文的发表时间）