Complementary Sets of Shutter Sequences for Motion Deblurring

Hae-Gon Jeon, Joon-Young Lee, Yudeog Han, Seon Joo Kim, In So Kweon; Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015, pp. 3541-3549

Abstract


In this paper, we present a novel multi-image motion deblurring method utilizing the coded exposure technique. The key idea of our work is to capture video frames with a set of complementary fluttering patterns to preserve spatial frequency details. We introduce an algorithm for generating a complementary set of binary sequences based on the modern communication theory and implement the coded exposure video system with an off-the-shelf machine vision camera. The effectiveness of our method is demonstrated on various challenging examples with quantitative and qualitative comparisons to other computational image capturing methods used for image deblurring.

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[bibtex]
@InProceedings{Jeon_2015_ICCV,
author = {Jeon, Hae-Gon and Lee, Joon-Young and Han, Yudeog and Kim, Seon Joo and Kweon, In So},
title = {Complementary Sets of Shutter Sequences for Motion Deblurring},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV)},
month = {December},
year = {2015}
}