Abstract
The purpose of this paper is to address the problem of synchronous multi-band image fusion, which encompasses far-infrared images (FIRI), near-infrared images (NIRI), and visible images (VISI). By studying the imaging principles for each of these kinds of image, we find that there are similarities between NIRI and the final fusion image, including both thermal radiation and the reflection of light. NIRI is therefore used as the reference image and relevant FIRI or VISI features are used to enhance the thermal target, background and edge texture, thereby making fusion possible. The paper begins by establishing an optimization model for multi-band image synchronous fusion, based on imaging characteristics. This is followed by a more detailed elaboration of the model. An alternating direction method of multipliers (ADMM) is then used to construct an algorithm to solve the model according to the specific circumstances of its use. After this, an experimental design is analyzed to acquire the main parameters of the model. Finally, a number of experiments are used to demonstrate that the fusion produces good results in terms of both visual effects and objective evaluation indicators.
Highlights
Image Image information fusion is widely-used across fields such as remote sensing, medicine, security and military science [1]–[4]
An experimental method was used to obtain appropriate parameters according to both a subjective evaluation and objective indicators
A series of experiments proved the feasibility and effectiveness of the proposed algorithm. These experiments showed that the fusion could achieve high definition, abundant complementary information and clear edge features while guaranteeing there will be no artifacts or ambiguities
Summary
Image Image information fusion is widely-used across fields such as remote sensing, medicine, security and military science [1]–[4]. Existing research methods are mostly based upon dual-band images and cannot be extended for multi-band image fusion. When multi-band image fusion is undertaken using sequential methods, the processing of existing algorithms becomes timeconsuming and can result in a loss of information or distortion. The need for new theories and synchronous methods for multi-band image fusion has become pressing. Obtaining more comprehensive and reliable results may play an important role across a range of military and civilian fields, including precision guidance, disaster monitoring and medical diagnosis. It may help to solve some of the most deep-seated scientific problems in image fusion theory, The associate editor coordinating the review of this manuscript and approving it for publication was Peng Liu
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
