颜色恒定性
水下
人工智能
对比度(视觉)
颜色校正
计算机视觉
计算机科学
图像增强
色彩平衡
对比度增强
彩色图像
图像(数学)
图像处理
地理
考古
医学
磁共振成像
放射科
作者
Weidong Zhang,Lili Dong
标识
DOI:10.1016/j.compag.2021.106585
摘要
Many practical underwater applications need to address color cast, blurring, and low contrast of underwater images for display and further analysis. To cope with the aforementioned issues, a novel underwater image enhancement method based on Retinex-inspired color correction and detail preserved fusion technology is proposed. First, we employ a Retinex-inspired color correction strategy to remove the color cast induced by underwater light scattering. We then build on blending three images directly derived from a local contrast-enhanced version, a detail version, and a global contrast-enhanced version of the corrected underwater image. The local and global contrast-enhanced versions promote the transfer of color and contrast to the output image. Meanwhile, the detail version improves the edges and details of the output image. Qualitative and quantitative comparisons demonstrated that the proposed method achieves superior enhancement performance for underwater images of different scenes.
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