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.
|Journal||IS and T International Symposium on Electronic Imaging Science and Technology|
|Publication status||Published - 2016|
|Event||Image Processing: Algorithms and Systems XIV 2016 - San Francisco, United States|
Duration: 2016 Feb 14 → 2016 Feb 18
Bibliographical noteFunding Information:
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MEST) (No. 2015R1A2A1A14000912).
© 2016 Society for Imaging Science and Technology.
All Science Journal Classification (ASJC) codes
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Human-Computer Interaction
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics