Compressed sensing for image reconstruction via back-off and rectification of greedy algorithm
作者: Qingyong DengHongqing ZengJian ZhangShujuan TianJiasheng CaoZhetao LiAnfeng Liu
作者单位: 1College of Information Engineering, Xiangtan University, Xiangtan 411105, China
2School of Science & Technology, Zhejiang International Studies University, Hangzhou 3100, China
3School of Information Science and Engineering, Central South University, ChangSha 410083, China
刊名: Signal Processing, 2019, Vol.157 , pp.280-287
来源数据库: Elsevier Journal
DOI: 10.1016/j.sigpro.2018.12.007
关键词: Image reconstructionCompressive sensingSparse signal reconstructionBack-off and rectificationGreedy pursuit
原始语种摘要: Abstract(#br)Image reconstruction is an important research topic in the field of multimedia processing. It aims to represent a high-resolution image with highly compressed features that can be used to reconstruct the original image as well as possible, and has been widely used for image storage and transmission. Compressed Sensing (CS) is a commonly used approach for image reconstruction; however, CS currently lacks an efficient and accurate solving algorithm. To this end, we present an iterative greedy reconstruction algorithm for Compressed Sensing called back-off and rectification of greedy pursuit (BRGP). The most significant feature of the BRGP algorithm is that it uses a back-off and rectification mechanism to select the atoms and then obtains the final support set. Specifically, an...
全文获取路径: Elsevier  (合作)
影响因子:1.851 (2012)

  • rectification 整流
  • reconstruction 复原
  • image 
  • algorithm 算法
  • greedy 贪婪的
  • sensing 感觉
  • feature 结构元件
  • intersection 交叉
  • compressed 侧扁的
  • multimedia 多媒体