Going Unconstrained With Rolling Shutter Deblurring

Mahesh Mohan M. R., A. N. Rajagopalan, Gunasekaran Seetharaman; The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 4010-4018

Abstract


Most present-day imaging devices are equipped with CMOS sensors. Motion blur is a common artifact in hand-held cameras. Because CMOS sensors mostly employ a rolling shutter (RS), the motion deblurring problem takes on a new dimension. Although few works have recently addressed this problem, they suffer from many constraints including heavy computational cost, need for precise sensor information, and inability to deal with wide-angle systems (which most cell-phone and drone cameras are) and irregular camera trajectory. In this work, we propose a model for RS blind motion deblurring that mitigates these issues significantly. Comprehensive comparisons with state-of-the-art methods reveal that our approach not only exhibits significant computational gains and unconstrained functionality but also leads to improved deblurring performance.

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[bibtex]
@InProceedings{R._2017_ICCV,
author = {Mohan, Mahesh M. R. and Rajagopalan, A. N. and Seetharaman, Gunasekaran},
title = {Going Unconstrained With Rolling Shutter Deblurring},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}