Hybrid fusion and demosaicing algorithm with near-infrared image

X. Y. Luo; J. Zhang; Q. H. Dai

doi:10.1117/12.2053206

22 May 2014 Hybrid fusion and demosaicing algorithm with near-infrared image

X. Y. Luo, J. Zhang, Q. H. Dai

Proceedings Volume 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014; 91210J (2014) https://doi.org/10.1117/12.2053206
Event: SPIE Sensing Technology + Applications, 2014, Baltimore, MD, United States

Abstract

In this paper, we propose a unified framework for color filter array (CFA) interpolation and visible/NIR image combination. The proposed method aims to reconstruct a high quality image from raw CFA data and the corresponding NIR image, similar to a multi-spectral fusion of color and NIR images. Based on NIR image, we impose a sparse constraint of gradient difference to modify the traditional color interpolation. The experiments indicate the effectiveness of our hybrid scheme to acquire joint color and NIR information in real-time, and show that this hybrid process can generate a better color image when compared with treating interpolation and fusion separately.

Citation Download Citation

X. Y. Luo, J. Zhang, and Q. H. Dai "Hybrid fusion and demosaicing algorithm with near-infrared image", Proc. SPIE 9121, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2014, 91210J (22 May 2014); https://doi.org/10.1117/12.2053206

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available