EV-Fusion: A Novel Infrared and Low-Light Color Visible Image Fusion Network Integrating Unsupervised Visible Image Enhancement

IEEE Sensors Journal, Год журнала: 2024, Номер 24(4), С. 4920 - 4934

Опубликована: Янв. 3, 2024

Infrared and visible image fusion can effectively integrate the advantages of two source images, preserving significant target information rich texture details. However, most existing methods are only designed for well-illuminated scenes tend to lose details when encountering low-light because poor brightness images. Some incorporate a light adjustment module, but they typically focus on enhancing intensity neglect enhancement color feature, resulting in unsatisfactory visual effects fused To address this issue, paper proposes novel method called EV-fusion, which explores potential detail features images improve perception Specifically, an unsupervised module is that restores texture, structure by several non-reference loss functions. Then, devised enhanced infrared image. Moreover, salient object feature we propose bilateral-guided salience map embedding into Extensive experiments demonstrate our outperforms state-of-the-art methods.

Язык: Английский

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Enhancing infrared and visible image fusion through multiscale Gaussian total variation and adaptive local entropy

The Visual Computer, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Язык: Английский

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Multi-level adaptive perception guidance based infrared and visible image fusion

Optics and Lasers in Engineering, Год журнала: 2023, Номер 171, С. 107804 - 107804

Опубликована: Авг. 30, 2023

Язык: Английский

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An Effective Infrared and Visible Image Fusion Approach via Rolling Guidance Filtering and Gradient Saliency Map

Remote Sensing, Год журнала: 2023, Номер 15(10), С. 2486 - 2486

Опубликована: Май 9, 2023

To solve problems of brightness and detail information loss in infrared visible image fusion, an effective fusion method using rolling guidance filtering gradient saliency map is proposed this paper. The used to decompose the input images into approximate layers residual layers; energy attribute model fuse introduced corresponding weight matrices are constructed perform on layers. generated by reconstructing fused layer sub-image sub-images. Experimental results demonstrate superiority method.

Язык: Английский

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Modality specific infrared and visible image fusion based on multi-scale rich feature representation under low-light environment

Infrared Physics & Technology, Год журнала: 2024, Номер 140, С. 105351 - 105351

Опубликована: Май 15, 2024

Язык: Английский

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MDAN: Multilevel dual-branch attention network for infrared and visible image fusion

Optics and Lasers in Engineering, Год журнала: 2024, Номер 176, С. 108042 - 108042

Опубликована: Янв. 29, 2024

Язык: Английский

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Detecting rice straw burning based on infrared and visible information fusion with UAV remote sensing

Computers and Electronics in Agriculture, Год журнала: 2024, Номер 222, С. 109078 - 109078

Опубликована: Май 29, 2024

Язык: Английский

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A multi-scale infrared polarization image fusion method based on polarization-forming

Infrared Physics & Technology, Год журнала: 2025, Номер unknown, С. 105735 - 105735

Опубликована: Фев. 1, 2025

Язык: Английский

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A low-light image enhancement framework based on hybrid multiscale decomposition and adaptive brightness adjustment model

Optics & Laser Technology, Год журнала: 2025, Номер 185, С. 112621 - 112621

Опубликована: Фев. 18, 2025

Язык: Английский

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DSAFusion: Detail-semantic-aware network for infrared and low-light visible image fusion

Infrared Physics & Technology, Год журнала: 2025, Номер unknown, С. 105804 - 105804

Опубликована: Март 1, 2025

Язык: Английский

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