Multi-sensor image fusion based on contrast and directional features optimization

Haiyan Jin, Meng Zhang, Zhaolin Xiao and Yaning Li

International Journal of Distributed Sensor Networks, 2018, vol. 14, issue 12, 1550147718815841

Abstract: Multi-sensor image fusion is always an important and opening problem, which can enhance visual quality and benefit some social security applications. In this article, we use contrast pyramid to decompose visible and infrared images, respectively, and the directional filter banks are applied to obtain multiple directional sub-band image features. Then, we compute the decomposition coefficients of visible and infrared images using a low-pass filter on the decomposed data; and finally, we introduce the whale optimization algorithm to search optimal coefficients to reconstruct the final fusion image. The experiments are conducted on multiple datasets with subjective and objective comparisons, in which the qualitative and quantitative analyses indicate the validity of the proposed method.

Keywords: Image fusion; multi-sensors; directional features; optimization; whale optimization algorithm (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:14:y:2018:i:12:p:1550147718815841

DOI: 10.1177/1550147718815841

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