Image Super Resolution from Alignment Errors of Image Sensors and Spatial Light Modulators

Masaki Hashimoto, Fumihiko Sakaue, Jun Sato

2017

Abstract

In this paper, we propose a novel method for obtaining super resolution images by using alignment errors between an image sensor and a spatial light modulator, such as LCoS device, in the coded imaging systems. Recently, coded imaging systems are often used for obtaining high dynamic range (HDR) images and for deblurring depth and motion blurs. For obtaining accurate HDR images and unblur images, it is very important to setup the spatial light modulators with cameras accurately, so that the one-to-one correspondences hold between light modulator pixels and camera image pixels. However, the accurate alignment of the light modulator and the image sensor is very difficult in reality. In this paper, we do not adjust light modulators and image sensors accurately. Instead, we use the alignment errors between the light modulators and the image sensors for obtaining high resolution images from low resolution observations in the image sensors.

References

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Paper Citation


in Harvard Style

Hashimoto M., Sakaue F. and Sato J. (2017). Image Super Resolution from Alignment Errors of Image Sensors and Spatial Light Modulators . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-225-7, pages 288-293. DOI: 10.5220/0006265702880293


in Bibtex Style

@conference{visapp17,
author={Masaki Hashimoto and Fumihiko Sakaue and Jun Sato},
title={Image Super Resolution from Alignment Errors of Image Sensors and Spatial Light Modulators},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006265702880293},
isbn={978-989-758-225-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2017)
TI - Image Super Resolution from Alignment Errors of Image Sensors and Spatial Light Modulators
SN - 978-989-758-225-7
AU - Hashimoto M.
AU - Sakaue F.
AU - Sato J.
PY - 2017
SP - 288
EP - 293
DO - 10.5220/0006265702880293