A Heterogeneous Image Fusion Method Based on DCT and Anisotropic Diffusion for UAVs in Future 5G IoT Scenarios
Joint Authors
Yu, Keping
Wen, Hu
Ma, Xu
Hao, Shuai
An, Beiyi
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-27
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Unmanned aerial vehicles, with their inherent fine attributes, such as flexibility, mobility, and autonomy, play an increasingly important role in the Internet of Things (IoT).
Airborne infrared and visible image fusion, which constitutes an important data basis for the perception layer of IoT, has been widely used in various fields such as electric power inspection, military reconnaissance, emergency rescue, and traffic management.
However, traditional infrared and visible image fusion methods suffer from weak detail resolution.
In order to better preserve useful information from source images and produce a more informative image for human observation or unmanned aerial vehicle vision tasks, a novel fusion method based on discrete cosine transform (DCT) and anisotropic diffusion is proposed.
First, the infrared and visible images are denoised by using DCT.
Second, anisotropic diffusion is applied to the denoised infrared and visible images to obtain the detail and base layers.
Third, the base layers are fused by using weighted averaging, and the detail layers are fused by using the Karhunen–Loeve transform, respectively.
Finally, the fused image is reconstructed through the linear superposition of the base layer and detail layer.
Compared with six other typical fusion methods, the proposed approach shows better fusion performance in both objective and subjective evaluations.
American Psychological Association (APA)
Hao, Shuai& An, Beiyi& Wen, Hu& Ma, Xu& Yu, Keping. 2020. A Heterogeneous Image Fusion Method Based on DCT and Anisotropic Diffusion for UAVs in Future 5G IoT Scenarios. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1214580
Modern Language Association (MLA)
Hao, Shuai…[et al.]. A Heterogeneous Image Fusion Method Based on DCT and Anisotropic Diffusion for UAVs in Future 5G IoT Scenarios. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1214580
American Medical Association (AMA)
Hao, Shuai& An, Beiyi& Wen, Hu& Ma, Xu& Yu, Keping. A Heterogeneous Image Fusion Method Based on DCT and Anisotropic Diffusion for UAVs in Future 5G IoT Scenarios. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1214580
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214580