首页> 外文期刊>Journal of the Optical Society of America, A. Optics, image science, and vision >Multilevel weighted enhancement for underwater image dehazing
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Multilevel weighted enhancement for underwater image dehazing

机译:水下图像去吸附的多级加权增强

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摘要

Attenuation and scattering of light are responsible for haziness in images of underwater scenes. To reduce this effect, we propose an approach for single-image dehazing by multilevel weighted enhancement of the image. The underlying principle is that enhancement at different levels of detail can undo the degradation caused by underwater haze. The depth information is captured implicitly while going through different levels of details due to the depth-variant nature of haze. Hence, we judiciously assign weights to different levels of image details and reveal that their linear combination along with the coarsest information can successfully restore the image. Results demonstrate the efficacy of our approach as compared to state-of-the-art underwater dehazing methods. (C) 2019 Optical Society of America
机译:光的衰减和散射负责水下场景的图像中的朦胧。 为了减少这种效果,我们提出了一种通过图像的多级加权增强的单图像去吸附方法。 潜在的原则是,不同水平的细节的增强可以撤消水下雾度引起的降级。 由于雾度的深度变体性质,通过不同的细节覆盖深度信息。 因此,我们明显地将权重赋予不同级别的图像细节,并揭示了它们的线性组合以及粗构信息可以成功恢复图像。 结果表明,与最先进的水下脱水方法相比,我们的方法的功效。 (c)2019年光学学会

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