Share Email Print

Proceedings Paper

Enhancement of image fusion methods
Format Member Price Non-Member Price
PDF $17.00 $21.00

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
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)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?