RGB image processing based on compressed sensing
作者: Z.J. XuJ.J. ZhangY. Zhang
论文集英文名称: IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012)
来源数据库: IET
DOI: 10.1049/cp.2012.2300
关键词: automationcomputer sciencecontrol engineeringelectronic commerceelectronics industryinformation sciencemanagement information systemstelecommunication computing
原始语种摘要: Compressed Sensing (CS) can project a high dimensional signal to a low dimensional signal by a random measurement matrix. In this paper, the signal reconstruction algorithm of Compressed Sensing is discussed and a new method is proposed to improve the speed of reconstruction and the quality of recovered images through the orthogonalization of measurement matrix based on proximate QR factorization row matrix. Here we use a M × N dimensional matrix Φ to complete the signal from high dimensional to low dimensional .In experiment, the RGB image is processed by the improved measurement matrix and OMP algorithm. The results show that the processing of image reconstruction would be fewer amounts of calculation and reducing the effect of the image reconstruction speed.
全文获取路径: IET 

  • compressed 侧扁的
  • image 
  • processing 加工
  • RGB 红绿蓝
  • reconstruction 复原
  • factorization 因式分解
  • computer 电子计算机
  • dimensional 量纲的
  • algorithm 算法
  • matrix 石基