Multi-Frame Super-Resolution Reconstruction Algorithm Based on Diffusion Tensor Regularization Term

Xiao Dong Zhao; Zuo Feng Zhou; Jian Zhong Cao; Long Ren; Guang Sen Liu; Hua Wang; Deng Shan Wu; Jia Hai Tan

doi:10.4028/www.scientific.net/AMM.543-547.2828

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Multi-Frame Super-Resolution Reconstruction...

Multi-Frame Super-Resolution Reconstruction Algorithm Based on Diffusion Tensor Regularization Term

Abstract:

This paper presents a multi-frame super-resolution (SR) reconstruction algorithm based on diffusion tensor regularization term. Firstly, L1-norm structure is used as data fidelity term, anisotropic diffusion equation with directional smooth characteristics is introduced as a prior knowledge to optimize reconstruction result. Secondly, combined with shock filter, SR reconstruction energy functional is established. Finally, Euler-Lagrange equation based on nonlinear diffusion model is exported. Simulation results validate that the proposed algorithm enhances image edges and suppresses noise effectively, which proves better robustness.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

2828-2832

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.2828

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Online since:

March 2014

Authors:

Xiao Dong Zhao*, Zuo Feng Zhou, Jian Zhong Cao, Long Ren, Guang Sen Liu, Hua Wang, Deng Shan Wu, Jia Hai Tan

Keywords:

Anisotropy, Diffusion Tensor, PDE, Super-Resolution Reconstruction

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