Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (5): 36-40.doi: 10.3969/j.issn.1000-565X.2014.05.006

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Phase Retrieval Based on PhaseCut

Zhang Fen Zhang Quan- bing Zhang Cheng Shen Chuan Wei Sui   

  1. Key Laboratory of Intelligent Computing and Signal Processing,Anhui University,Hefei 230039,Anhui,China
  • Received:2013-11-04 Revised:2014-04-14 Online:2014-05-25 Published:2014-04-01
  • Contact: 韦穗(1946-),女,教授,博士生导师,主要从事三维全息显示研究. E-mail:swei@ahu.edu.cn
  • About author:张芬(1980-),女,博士生,讲师,主要从事矩阵填充、相位检索研究.E-mail:fenzhang2003@163.com
  • Supported by:

    NSFC- 广东省政府联合基金资助项目(U1201255);国家自然科学基金资助项目(61201396, 61301296, 61377006,61370109);高等学校博士学科点专项科研基金资助项目(20113401130001);安徽高校省级自然科学研究重点项目(KJ2011A005);安徽大学青年科学研究基金资助项目(KJQN1120)

Abstract:

PhaseLift is a new phase retrieval method that converts phase retrieval problems with nonlinear con-straints into semidefinite programming problems.Phase retrieval problems are translated into Maxcut- like semidefi-nite programming problems (namely PhaseCut) by accurately separating amplitude and phase variables combinedwith the method of PhaseLift.As the computational complexity of PhaseCut increases quickly with the problem size,a PURE- RBR- M algorithm suitable for MaxCut problems is employed to solve PhaseCut.Simulated results show thatPURE- RBR- M algorithm achieves phase retrieval successfully and possesses strong robustness to noise measure-ment; and that it is superior to the interior point algorithm and the greedy algorithm because it runs faster and leadsto a quicker signal reconstruction.

Key words: image processing, PhaseLift, PhaseCut, MaxCut, phase retrieval, semidefinite programming

CLC Number: