Multi-frame super-resolution reconstruction based on mixed Poisson–Gaussian noise
作者：
Highlights：
• Multi-frame super-resolution reconstruction based on mixed Poisson–Gaussian noise.
• Decomposition of the objective function and optimization by the ADMM algorithm.
• Quantitative evaluation on different noise levels and inaccurate degradation matrix.
• Qualitative verification and practical validation on 16-bit X-ray images.
• Demonstrating the significance of applying a more appropriate noise model on SR reconstruction.
摘要
•Multi-frame super-resolution reconstruction based on mixed Poisson–Gaussian noise.•Decomposition of the objective function and optimization by the ADMM algorithm.•Quantitative evaluation on different noise levels and inaccurate degradation matrix.•Qualitative verification and practical validation on 16-bit X-ray images.•Demonstrating the significance of applying a more appropriate noise model on SR reconstruction.
论文关键词：Super-resolution,Mixed Poisson–Gaussian noise,Statistical image reconstruction
论文评审过程：Received 14 June 2019, Revised 4 December 2019, Accepted 5 December 2019, Available online 9 December 2019, Version of Record 14 December 2019.
论文官网地址：https://doi.org/10.1016/j.image.2019.115736
