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Authors: Sara Saravi and E. A. Edirisinghe

Affiliation: Loughborough University, United Kingdom

Keyword(s): Image Registration, Multi-exposure Image Fusion, Translational and Rotational Camera Shake, Wavelet Based Contourlet Transform, CPD, SIFT, RANSAC.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image Registration

Abstract: Multi-exposure image fusion algorithms are used for enhancing the perceptual quality of an image captured by sensors of limited dynamic range by rendering multiple images captured at different exposure settings. One practical problem overlooked by existing algorithms is the compensation required for image de-registration due to possible multi-dimensional camera shake that results within the time gap of capturing the multiple exposure images. In our approach RANdom SAmple Consensus (RANSAC) algorithm is used to identify inliers of key-points identified by the Scale Invariant Feature Transform (SIFT) approach subsequently to the use of Coherent Point Drift (CPD) algorithm to register the images based on the selected set of key points. We provide experimental results on set of images with multi-dimensional (translational and rotational) to prove the proposed algorithm’s capability to register and fuse multiple exposure images taken in the presence of camera shake providing subjectively enhanced output images. (More)

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Paper citation in several formats:
Saravi, S. and A. Edirisinghe, E. (2012). CONTOURLET BASED MULTI-EXPOSURE IMAGE FUSION WITH COMPENSATION FOR MULTI-DIMENSIONAL CAMERA SHAKE. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 182-185. DOI: 10.5220/0003836001820185

@conference{visapp12,
author={Sara Saravi. and E. {A. Edirisinghe}.},
title={CONTOURLET BASED MULTI-EXPOSURE IMAGE FUSION WITH COMPENSATION FOR MULTI-DIMENSIONAL CAMERA SHAKE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={182-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003836001820185},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - CONTOURLET BASED MULTI-EXPOSURE IMAGE FUSION WITH COMPENSATION FOR MULTI-DIMENSIONAL CAMERA SHAKE
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Saravi, S.
AU - A. Edirisinghe, E.
PY - 2012
SP - 182
EP - 185
DO - 10.5220/0003836001820185
PB - SciTePress

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