Chinese Optics Letters, 2007, 5 (3): 149, Published Online: Mar. 12, 2007  

Fast regularized image interpolation method

Author Affiliations
Department of Electrical Engineering, Harbin Institute of Technology, Harbin 150001
Abstract
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.

Hongchen Liu, Yong Feng, Linjing Li. Fast regularized image interpolation method[J]. Chinese Optics Letters, 2007, 5(3): 149.

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