Enhancing Bayesian Estimators for Removing Camera Shake

@article{Wang2013EnhancingBE,
  title={Enhancing Bayesian Estimators for Removing Camera Shake},
  author={Chao Ching Wang and Yong Yue and Feng Dong and Yubo Tao and Xiaojun Ma and Gordon Clapworthy and Xujiong Ye},
  journal={Comput. Graph. Forum},
  year={2013},
  volume={32},
  pages={113-125}
}
The aim of removing camera shake is to estimate a sharp version x from a shaken image yi¾?when the blur kerneli¾?k is unknown. Recent research on this topic evolved through two paradigms called MAPk and MAPx,k. MAPk only solves for k by marginalizing the image prior, while MAPx,k recovers both x and k by selecting the mode of the posterior distribution. This paper first systematically analyses the latent limitations of these two estimators through Bayesian analysis. We explain the reason why it… CONTINUE READING
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