Versatile visible and near-infrared image fusion based on high visibility area selection

Takashi Shibata; Masayuki Tanaka; Masatoshi Okutomi

doi:10.1117/1.JEI.25.1.013016

26 January 2016 Versatile visible and near-infrared image fusion based on high visibility area selection

Takashi Shibata, Masayuki Tanaka, Masatoshi Okutomi

Author Affiliations +

Journal of Electronic Imaging, Vol. 25, Issue 1, 013016 (January 2016). https://doi.org/10.1117/1.JEI.25.1.013016

Abstract

We present an image fusion algorithm for a visible image and a near-infrared image. The proposed algorithm synthesizes a fused image that includes high-visibility information of both images while reducing artifacts caused by geometric and illumination inconsistencies. In the proposed fusion, the high-visibility area is labeled at each pixel by global optimization based on the local visibility and inconsistency. The local visibility is evaluated using a local contrast. The inconsistency is also locally estimated based on a learning-based approach. The fused luminance is constructed using Poisson image reconstruction that preserves the gradient of the selected high-visibility areas. The proposed fusion framework has various applications, which include denoising, haze removal, and image enhancement. Experimental results show that the proposed method has comparable or even superior performance to existing methods designed for specific applications.

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Takashi Shibata, Masayuki Tanaka, and Masatoshi Okutomi "Versatile visible and near-infrared image fusion based on high visibility area selection," Journal of Electronic Imaging 25(1), 013016 (26 January 2016). https://doi.org/10.1117/1.JEI.25.1.013016

Published: 26 January 2016

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