Infrared and visible image fusion method based on compound decomposition and region feature ratios

Meili Li; Nan Gao

doi:10.1117/12.2639396

27 June 2022 Infrared and visible image fusion method based on compound decomposition and region feature ratios

Meili Li, Nan Gao

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122530Y (2022) https://doi.org/10.1117/12.2639396
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

In order to solve the problems of less prominent features in infrared and visible image fusion, an infrared and visible image fusion method based on compound decomposition and region feature ratios is proposed. Firstly, two original images are decomposed using nonsubsampled contourlet transform(NSCT) separately, and the low frequency coefficients and high frequency coefficients are obtained. Then the two-scale decomposition is used to decompose low frequency coefficients into low frequency base subband coefficients and low frequency detail subband coefficients. Secondly, for the low frequency basic and detail subband coefficients, the fusion rules of region feature ratios and absolute-maximum-choosing scheme are adopted respectively. High frequency subband coefficients are fused by region-energy-maximum scheme. Finally, the fused low frequency subband coefficients are obtained by two-scale inverse transform. The fused low frequency subband coefficients and fused high frequency subband coefficients are inversely transformed by NSCT to obtain the fused image. The experimental results show that the proposed method outperforms to conventional fusion methods in terms of objective evaluation and subject quality

Citation Download Citation

Meili Li and Nan Gao "Infrared and visible image fusion method based on compound decomposition and region feature ratios", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122530Y (27 June 2022); https://doi.org/10.1117/12.2639396

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KEYWORDS

Image fusion

Infrared imaging

Infrared radiation

Visible radiation

Fusion energy

Image sensors

Spatial frequencies

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