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Fast regularized image interpolation method

Fast regularized image interpolation method
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摘要 The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity. The regularized image interpolation method is widely used based on the vector interpolation model in which down-sampling matrix has very large dimension and needs large storage consumption and higher computation complexity. In this paper, a fast algorithm for image interpolation based on the tensor product of matrices is presented, which transforms the vector interpolation model to matrix form. The proposed algorithm can extremely reduce the storage requirement and time consumption. The simulation results verify their validity.
出处 《Chinese Optics Letters》 SCIE EI CAS CSCD 2007年第3期149-152,共4页 中国光学快报(英文版)
关键词 ALGORITHMS Computational complexity Digital image storage INTERPOLATION Matrix algebra VECTORS Algorithms Computational complexity Digital image storage Interpolation Matrix algebra Vectors
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参考文献1

  • 1Nhat Nguyen,Peyman Milanfar.A wavelet-based interpolation-restoration method for superresolution (wavelet superresolution)[J].Circuits Systems and Signal Processing.2000(4)

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