Visible and near-infrared image fusion based on visually salient area selection

Takashi Shibata; Masayuki Tanaka; Masatoshi Okutomi

doi:10.1117/12.2077050

27 February 2015 Visible and near-infrared image fusion based on visually salient area selection

Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi

Proceedings Volume 9404, Digital Photography XI; 94040G (2015) https://doi.org/10.1117/12.2077050
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

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.

Citation Download Citation

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

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