DCT based Multi Exposure Image Fusion

O. Martorell, C. Sbert, A. Buades

2019

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.

Paper Citation

in Harvard Style

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 (VISIGRAPP 2019) - Volume 4: VISAPP; ISBN 978-989-758-354-4, SciTePress, pages 115-122. DOI: 10.5220/0007356701150122

in Bibtex Style

@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 (VISIGRAPP 2019) - Volume 4: VISAPP},
year={2019},
pages={115-122},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007356701150122},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 4: 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
PB - SciTePress