CONTOURLET BASED MULTI-EXPOSURE IMAGE FUSION WITH COMPENSATION FOR MULTI-DIMENSIONAL CAMERA SHAKE

Sara Saravi, E. A. Edirisinghe

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 182-185. DOI: 10.5220/0003836001820185


in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={182-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003836001820185},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - CONTOURLET BASED MULTI-EXPOSURE IMAGE FUSION WITH COMPENSATION FOR MULTI-DIMENSIONAL CAMERA SHAKE
SN - 978-989-8565-03-7
AU - Saravi S.
AU - A. Edirisinghe E.
PY - 2012
SP - 182
EP - 185
DO - 10.5220/0003836001820185