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This article proposes to learn the human understanding of the saliency features of the image through deep neural networks to obtain more complete fusion ...
Infrared and visible image fusion based on visual saliency map and weighted least square optimization · Computer Science, Engineering · 2017.
Abstract—The aim of image fusion is to synthesize the infor- mation from multiple images to provide richer information for understanding human image content ...
Nov 10, 2022 · Abstract: The aim of image fusion is to synthesize the information from multiple images to provide richer information for understanding human ...
Oct 22, 2024 · A multi-level image decomposition method is used to obtain the base layer and detail layer of the source image. For the fusion of base layer, an ...
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This study develops a new end-to-end model, termed unpaired high-quality image-guided generative adversarial network (UHG-GAN).
Sep 14, 2024 · In this work, we propose an infrared and visible image fusion method incorporating hierarchical human perception by leveraging Large Vision- ...
Jun 6, 2024 · In other words, our STDFusionNet can fulfill salient target detection and key information fusion in an implicit manner. Extensive ...
In this paper, we propose an infrared and visible image fusion method based on convolutional neural networks (CNNs).
This article begins by providing an overview of the current mainstream algorithms for infrared and visible image fusion based on neural networks.