Coded Exposure Imaging for Projective Motion Deblurring

We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially variant blur. Based on the projective motion blur model of [27], we present a blur estimation technique that jointly utilizes a coded exposure camera and simple user interactions to recover the PSF. With this spatially variant PSF, objects that exhibit projective motion can be effectively deblurred. We validate this method with several challenging image examples.

• Type: Conference
• Year: 2010
• Where: CVPR
• Authors: Yu-Wing Tai, Naejin Kong, Stephen Lin, Sung Yong Shin
• Keywords: Computer Vision, CVPR 2010, Projective Motion, Projective Motion Blur, Variant Object Motion