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Underwater image enhancement based on contrast adjustment via differential evolution algorithm

机译:基于差分进化算法的对比度调整的水下图像增强

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Due to the absorption and scattering of light in underwater environment, underwater images have poor contrast and resolution. This situation generally causes to a color, which became more dominant than the other ones. Because of that, analyzing underwater images effectively and identifying any object under the water has become a difficult task. In this paper, an underwater enhancement approach by using differential evolution algorithm was proposed. In the approach, a contrast enhancement in the RGB space is done. By using the approach, both scattering and absorption effects are reduced.
机译:由于水下环境中光的吸收和散射,水下图像的对比度和分辨率很差。这种情况通常会导致一种颜色,这种颜色比其他颜色更占优势。因此,有效地分析水下图像并识别水下的任何物体已成为一项艰巨的任务。提出了一种利用差分进化算法的水下增强方法。在该方法中,完成了RGB空间中的对比度增强。通过使用该方法,散射和吸收效果均降低。

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