
Proceedings Paper
Enhancement of image fusion methodsFormat | Member Price | Non-Member Price |
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Paper Abstract
Image fusion methods that can effectively combine information from different imaging sources have become more
common due to the growing types and number of imaging sensors, and because it can be difficult for humans to
effectively integrate visual information by viewing multiple displays separately. In this paper, we show a novel
techniques that runs at the first stage of the fusion process. The algorithm determines the "polarity" of the images (i.e.,
assigning brighter or darker gray-level values to larger image intensities), under the assumption that fusion produces
better results when the images are more similar. The proposed technique was implemented to various fusion methods,
including arithmetic fusion, Lapalce pyramids, Ratio of Low Pass pyramids and Morphological pyramids. Pairs of
thermal and visual images were employed in the fusion procedure. The results indicate that the proposed enhancement
leads to a better image fusion quality, with low computational cost, according to both objective and subjective fusion
evaluations.
Paper Details
Date Published: 26 September 2013
PDF: 9 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885604 (26 September 2013); doi: 10.1117/12.2023224
Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)
PDF: 9 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 885604 (26 September 2013); doi: 10.1117/12.2023224
Show Author Affiliations
Yotam Ben-Shoshan, Ben-Gurion Univ. of the Negev (Israel)
Yitzhak Yitzhaky, Ben-Gurion Univ. of the Negev (Israel)
Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)
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