Journal of Jilin University (Information Science Edition) ›› 2019, Vol. 37 ›› Issue (6): 603-609.

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Reconstruction Algorithm Based on 2D-VMD and CC

GAO Hongyu1a,1 b,MA Liyuan1a,1 b,DONG Hongli1a,1 b,LU Jingyi1a,1b,LIU Wenqing2   

  1. 1a. School of Electrical Engineering and Information; 1b. Heilongjiang Provincial Key Laboratory of Networking and
    Intelligent Control,Northeast Petroleum University,Daqing 163318,China;2. C12343 Team,Downhole Service Company of Xibu Drilling Engineering Company Limited,Karamay 834000,China
  • Online:2019-11-24 Published:2020-01-03

Abstract: To improve the quality of reconstructed images,it is necessary to determine the decomposition scale K value and the effective intrinsic mode function in 2D-VMD ( Two Dimensional Variational Mode Decomposition) algorithm,a new algorithm combined 2D-VMD and CC ( Correlation Coefficient) is proposed and used to reconstruct image. Firstly,the image signal is decomposed into sub-modes of different central frequencies by 2D-VMD. Then,the CC value of the decomposed Intrinsic Mode Function ( IMF) and the original image function is calculated to determine the effective Intrinsic Mode component according to the CC criterion.Finally,image denoising is achieved by reconstruct with effective intrinsic modal component. Simulation results show that the decomposition scale K and the effective sub-modes can be obtained through combined 2D-VMD and CC,which has high image reconstruction accuracy and improved image quality.

Key words: two dimensional variational mode decomposition, correlation coefficient, image denoising, modal reconstruction

CLC Number: 

  • TN911. 73