27 February 2015 Visible and near-infrared image fusion based on visually salient area selection
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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.
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Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi, "Visible and near-infrared image fusion based on visually salient area selection", Proc. SPIE 9404, Digital Photography XI, 94040G (27 February 2015); doi: 10.1117/12.2077050; https://doi.org/10.1117/12.2077050
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