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首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition
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Detail preserved fusion of visible and infrared images using regional saliency extraction and multi-scale image decomposition

机译：使用区域显着性提取和多尺度图像分解，保留可见光和红外图像的细节保留融合

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摘要

Fusion method of infrared and visible images to a synthetic image is a significant research topic in image process. It is an effective way to extract the detail information of the visible image and target regions of the infrared image in the final fused result. In this paper, a detail preserved fusion algorithm of visible and infrared images is proposed based on the regional saliency extraction technique and multi scale image decomposition. The multi-scale image decomposition is firstly applied to the infrared and visible images under the image smoothing framework using L1 fidelity with L0 gradient. Then for each decomposition layer the saliency map is extracted by the frequency-tuned saliency map extraction algorithm. The final fused result is reconstructed by synthesizing different levels with proper weight values. Experiments are implemented to test the performance of the proposed fusion approach compared with other excellent fusion methods. Both the subjective perception and quantitative index results demonstrate that the proposed approach obtains better performance in preserving the edge detail information as well as enhancing the infrared targert signals. (C) 2014 Elsevier B.V. All rights reserved.
机译：红外和可见光图像合成图像的融合方法是图像处理中一个重要的研究课题。这是提取最终融合结果中可见图像和红外图像目标区域细节信息的有效方法。本文提出了一种基于区域显着性提取技术和多尺度图像分解的保留细节的可见光和红外图像融合算法。首先使用L1保真度和L0梯度在图像平滑框架下将多尺度图像分解应用于红外图像和可见图像。然后，对于每个分解层，通过频率调谐的显着图提取算法提取显着图。通过合成具有适当权重值的不同级别来重建最终融合结果。与其他优秀的融合方法相比，已进行实验以测试所提出的融合方法的性能。主观感知和定量指标结果均表明，该方法在保留边缘细节信息以及增强红外目标信号方面获得了更好的性能。 （C）2014 Elsevier B.V.保留所有权利。

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