2015
ICCV
ICCV 2015
Complementary Sets of Shutter Sequences for Motion Deblurring
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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Interdisciplinary Bridge
— Computer Science and Computer Vision
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Keyword Pioneer
— shutter sequence
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Hot Topic Early Bird
— image deblurring
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Security & Privacy