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.
|Title of host publication||2015 International Conference on Computer Vision, ICCV 2015|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||9|
|Publication status||Published - 2015 Feb 17|
|Event||15th IEEE International Conference on Computer Vision, ICCV 2015 - Santiago, Chile|
Duration: 2015 Dec 11 → 2015 Dec 18
|Name||Proceedings of the IEEE International Conference on Computer Vision|
|Volume||2015 International Conference on Computer Vision, ICCV 2015|
|Other||15th IEEE International Conference on Computer Vision, ICCV 2015|
|Period||15/12/11 → 15/12/18|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition