A multi-band image synchronous fusion method based on saliency

Yu, Dong; Lin, Suzhen; Lu, Xiaofei; Wang, Bin; Li, Dawei; Li, Han

doi:10.1016/j.infrared.2022.104466

Cited by 8 publications

(2 citation statements)

References 66 publications

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“…Classical image fusion rules include "average" and "max-absolute" fusion rules. However, these simple fusion rules tend to cause a loss of important information [33], so many new fusion methods have been proposed to better preserve the source image information [34,35]. Although MST-based image fusion methods are simple, they are inseparable from the manual parameters setting and cannot adapt to complex and changing scenes.…”

Section: A Infrared and Visible Image Fusion Based On Traditional Met...mentioning

confidence: 99%

Deep Unfolding Network for Multi-Band Images Synchronous Fusion

Lin

Lu³

et al. 2023

IEEE Access

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This study proposes a new deep neural network to solve the multi-band image synchronous fusion problem (MBF-Net). Unlike other deep learning-based methods, our network architecture design combines the ideas of model-driven and data-driven methods, so it is more interpretable. First, a new multiband image synchronous fusion model is proposed. The source image in the data fidelity terms and the prior regularization are implicitly represented by the deep learning network and jointly learned from the training data. The proposed model is then solved using a half quadratic splitting (HQS) algorithm and unfolded into a deep fusion network. In addition, a new saliency loss function is proposed to retain thermal radiation information to enhance the fusion effect. Finally, the experimental results on the TNO dataset demonstrated the effectiveness of the proposed MBF-Net.INDEX TERMS Image fusion, multi-band images, total variation, optimization model.

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Section: A Infrared and Visible Image Fusion Based On Traditional Met...mentioning

confidence: 99%

Deep Unfolding Network for Multi-Band Images Synchronous Fusion

Lin

Lu³

et al. 2023

IEEE Access

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show abstract

“…Yet, at the center of every navigation module lies a localization framework, the purpose of which is to determine the platforms' position relative to their environment. In the vast variety of related approaches, visual localization [1] holds a vital role and can offer an edge over the alternatives [2][3][4], depending on the nature of the underlying problem.…”

Section: Introductionmentioning

confidence: 99%

Visual Place Recognition in Changing Environments with Sequence Representations on the Distance-Space Domain

et al. 2023

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Navigating in a perpetually changing world can provide the basis for numerous challenging autonomous robotic applications. With a view to long-term autonomy, visual place recognition (vPR) systems should be able to robustly operate under extreme appearance changes in their environment. Typically, the utilized data representations are heavily influenced by those changes, negatively affecting the vPR performance. In this article, we propose a sequence-based technique that decouples such changes from the similarity estimation procedure. This is achieved by remapping the sequential representation data into the distance-space domain, i.e., a domain in which we solely consider the distances between image instances, and subsequently normalize them. In such a way, perturbations related to different environmental conditions and embedded into the original representation vectors are avoided, therefore the scene recognition efficacy is enhanced. We evaluate our framework under multiple different instances, with results indicating a significant performance improvement over other approaches.

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Multi-band image synchronous fusion model based on task-interdependency

Lin,

Tian,

et al. 2024

Optik

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A multi-band image synchronous fusion method based on saliency

Cited by 8 publications

References 66 publications

Deep Unfolding Network for Multi-Band Images Synchronous Fusion

Deep Unfolding Network for Multi-Band Images Synchronous Fusion

Visual Place Recognition in Changing Environments with Sequence Representations on the Distance-Space Domain

Multi-band image synchronous fusion model based on task-interdependency

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