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Proceedings Paper

Visible and near-infrared image fusion based on visually salient area selection
Author(s): Takashi Shibata; Masayuki Tanaka; Masatoshi Okutomi
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Paper Abstract

This paper presents a novel image fusion algorithm for a visible image and a near infrared (NIR) image. For the proposed fusion, the image is selected pixel-by-pixel based on local saliency. In this paper, the local saliency is measured by a local contrast. Then, the gradient information is fused and the output image is constructed by a Poisson image editing which preserves the gradient information of both images. The effectiveness of the proposed fusion algorithm is demonstrated in various applications including denoising, dehazing, and image enhancement.

Paper Details

Date Published: 27 February 2015
PDF: 6 pages
Proc. SPIE 9404, Digital Photography XI, 94040G (27 February 2015); doi: 10.1117/12.2077050
Show Author Affiliations
Takashi Shibata, NEC Corp. (Japan)
Tokyo Institute of Technology (Japan)
Masayuki Tanaka, Tokyo Institute of Technology (Japan)
Masatoshi Okutomi, Tokyo Institute of Technology (Japan)

Published in SPIE Proceedings Vol. 9404:
Digital Photography XI
Nitin Sampat; Radka Tezaur; Dietmar Wüller, Editor(s)

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