This paper proposes an image fusion method for a single sensor based RGB+NIR (near infrared) MFA (multi-spectral filter array) sensor system. Unlike conventional color filter arrays, Bayer patterns, MFA sensors can receive not only visible band information but also NIR band information by using a single sensor system, which does not need to be registered. The main reasons for using MFA sensors are to increase object discrimination in the target images and improve the brightness of visible band images in extremely low light conditions by using NIR bands. As described in this paper, the fusion method consists of resolution fusion and color fusion, both of which are based on the texture decomposition method. In the experimental results, we compared the visible band, which is the input image for the fusion method, and fused the output image with the NIR band. Fusion results showed higher object discrimination and produced less noise than input visible images.