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2011

Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

7 years 6 months ago
Richardson-Lucy Deblurring for Scenes under a Projective Motion Path
— This paper addresses how to model and correct image blur that arises when a camera undergoes ego motion while observing a distant scene. In particular, we discuss how the blurred image can be modeled as an integration of the clear scene under a sequence of planar projective transformations (i.e. homographies) that describe the camera’s path. This projective motion path blur model is more effective at modeling the spatially varying motion blur exhibited by ego motion than conventional methods based on space-invariant blur kernels. To correct the blurred image, we describe how to modify the Richardson-Lucy (RL) algorithm to incorporate this new blur model. In addition, we show that our projective motion RL algorithm can incorporate state-of-the-art regularization priors to improve the deblurred results. The projective motion path blur model along with the modified RL algorithm is detailed together with experimental results demonstrating its overall effectiveness. Statistical analy...
Yu-Wing Tai, Ping Tan, Michael S. Brown
Added 17 Sep 2011
Updated 17 Sep 2011
Type Journal
Year 2011
Where PAMI
Authors Yu-Wing Tai, Ping Tan, Michael S. Brown
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