Joint Blind Motion Deblurring and Depth Estimation of Light Field

نویسندگان

  • Dongwoo Lee
  • Haesol Park
  • In Kyu Park
  • Kyoung Mu Lee
چکیده

Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem. The problem becomes even worse when blur kernel varies spatially due to scene depth variation and high-order camera motion. In this paper, we propose a novel algorithm to estimate all blur model variables jointly, including latent sub-aperture image, camera motion, and scene depth from the blurred 4D light field. Exploiting multi-view nature of a light field relieves the inverse property of the optimization by utilizing strong depth cues and multi-view blur observation. The proposed joint estimation achieves high quality light field deblurring and depth estimation simultaneously under arbitrary 6-DOF camera motion and unconstrained scene depth. Intensive experiment on real and synthetic blurred light field confirms that the proposed algorithm outperforms the state-of-the-art light field deblurring and depth estimation methods.

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عنوان ژورنال:
  • CoRR

دوره abs/1711.10918  شماره 

صفحات  -

تاریخ انتشار 2017