Space-Variant Image Deblurring on Smartphones using Inertial Sensors

Ondrej Sindelar, Filip Sroubek, Peyman Milanfar; Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2014, pp. 191-192

Abstract

Low-light hand-held photography requires long exposures and leads to space-variant blur degradation. Removing blur without any information about the camera motion is a computationally demanding and unstable process. In this demo system, we use rotational inertial sensors (gyroscopes) to detect the motion trajectory of the camera during exposure and then use it as a base for removing blur from the acquired photographs. The demo is a close-to-real-time deblurring technology, implemented on an Android smartphone.

Related Material

[pdf]
[bibtex]
@InProceedings{Sindelar_2014_CVPR_Workshops,
author = {Sindelar, Ondrej and Sroubek, Filip and Milanfar, Peyman},
title = {Space-Variant Image Deblurring on Smartphones using Inertial Sensors},
booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2014}
}