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Color outdoor image enhancement by V-NIR fusion and weighted luminance

机译:通过V-NIR融合和加权亮度增强室外彩色图像

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Outdoor color images are often degraded due to uncontrolled conditions such as lighting, pollution, fog, shadows or haze. Those conditions cause loss of contrast and detail as the scattering has attenuation and smoothing effect. Considering Near Infrared (NIR) light is lower scatters than visible light due to its long wavelength, the NIR is spread through the fog. NIR images usually contain important information that can complement the visible image (V) in the same scene. In this work, we propose to fused V and NIR images, of the same scene, by pixel weight assignation of the luminance. The results show that color images are capable to enhance certain features not visible at the input V image. Moreover, the proposed fusion method provides relevant information from the NIR image while preserves the V information. The main characteristic of our approach to fusing is that only the relevant information is fused and the resulting colors are consistent with the scene.
机译:由于无法控制的条件(例如照明,污染,雾气,阴影或雾霾),室外彩色图像通常会退化。这些条件导致对比度和细节的损失,因为散射具有衰减和平滑效果。考虑到近红外(NIR)光由于其长波长而具有比可见光低的散射,因此NIR会散布在雾中。 NIR图像通常包含可以补充同一场景中的可见图像(V)的重要信息。在这项工作中,我们建议通过亮度的像素权重分配来融合同一场景的V和NIR图像。结果表明,彩色图像能够增强某些在输入V图像上不可见的特征。此外,提出的融合方法提供了来自NIR图像的相关信息,同时保留了V信息。我们融合的方法的主要特点是,仅融合了相关信息,并且所产生的颜色与场景一致。

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