Depth and Arbitrary Motion Deblurring Using Integrated PSF

Takeyuki Kobayashi, Fumihiko Sakaue, Jun Sato

Abstract: In recent years, research for recovering depth blur and motion blur in images has been making a significant progress. In particular, the progress in computational photography enabled us to generate all-in-focus images and control depth of field in images. However, the simultaneous recovery of depth and motion blurs is still a big problem, and recoverable motion blurs are limited. In this paper, we show that by moving a camera during the exposure, the PSF of the whole image becomes invariant, and motion deblurring and all-in-focus imaging can be achieved simultaneously. In particular, motion blurs caused by arbitrary multiple motions can be recovered. The validity and the advantages of the proposed method are shown by real image experiments and synthetic image experiments.