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Authors: O. Martorell ; C. Sbert and A. Buades

Affiliation: Department of Mathematics and Computer Science & IAC3, University of Balearic Islands, Cra. de Valldemossa km. 7.5, 07122 Palma, Illes Balears and Spain

ISBN: 978-989-758-354-4

Keyword(s): Multi-exposure Images, Image Fusion, DCT Transform.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image Generation Pipeline: Algorithms and Techniques

Abstract: We propose a novel algorithm for multi-exposure fusion (MEF). This algorithm decomposes image patches with the DCT transform. Coefficients from patches with different exposure are combined. The luminance and chrominance of the different images are fused separately. Details of the fused image are finally enhanced as a post-processing. Experiments with several data sets show that the proposed algorithm performs better than state-of-the-art.

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Paper citation in several formats:
Martorell, O.; Sbert, C. and Buades, A. (2019). DCT based Multi Exposure Image Fusion.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-354-4, pages 115-122. DOI: 10.5220/0007356701150122

@conference{visapp19,
author={O. Martorell. and C. Sbert. and A. Buades.},
title={DCT based Multi Exposure Image Fusion},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2019},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007356701150122},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - DCT based Multi Exposure Image Fusion
SN - 978-989-758-354-4
AU - Martorell, O.
AU - Sbert, C.
AU - Buades, A.
PY - 2019
SP - 115
EP - 122
DO - 10.5220/0007356701150122

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