Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/21856

Title: Contourlet based multi-exposure image fusion with compensation for multi-dimensional camera shake
Authors: Saravi, Sara
Edirisinghe, Eran A.
Keywords: Image registration
Multi-exposure image fusion
Translational and rotational camera shake
Wavelet based contourlet transform
CPD
SIFT
RANSAC
Issue Date: 2012
Publisher: © SCITEPRESS
Citation: SARAVI, S. and EDIRISINGHE, E.A., 2012. Contourlet based multi-exposure image fusion with compensation for multi-dimensional camera shake. IN: Csurka, G. and Braz, J. (EDS.) Proceeding of the the International Conference on Computer Vision Theory and Applications, (VISAPP 2012), 1, pp. 182-185.
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 deregistration 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.
Description: This is a conference paper.
Version: Accepted for publication
DOI: 10.5220/0003836001820185
URI: https://dspace.lboro.ac.uk/2134/21856
Publisher Link: http://dx.doi.org/10.5220/0003836001820185
ISBN: 9789898565037
Appears in Collections:Conference Papers and Presentations (Computer Science)
Conference Papers and Contributions (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
Saravi_VISAPP_2012_140.pdfAccepted version203.76 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.