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De-hazing and enhancement method for underwater and low-light images

机译:水下和低光图像的去沉肠和增强方法

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摘要

Because underwater and low-light images have different characteristics, there are few methods to jointly improve the visibility of these images. This paper proposes a de-hazing and enhancement method for underwater and low-light images to describe the two types of images uniformly. Multi-scale retinex color recovery (MSRCR) and guided filtering methods are used for de-hazing; the proposed method of white balance fusion global guided image filtering (G-GIF), effectively solve the problems of dim light, color distortion, and loss of edge details. Experiments show that compared with other methods, this method can effectively solve the image exposure, and at the same time, it can better protect and enhance the image's color saturation and edge texture details, thus achieving a very good visual effect.
机译:由于水下和低光图像具有不同的特性,因此有很少的方法共同提高这些图像的可见性。 本文提出了一种用于水下和低光图像的去沉肠和增强方法,以均匀地描述两种类型的图像。 多尺度Retinex颜色恢复(MSRCR)和引导过滤方法用于De-Hazing; 所提出的白平衡融合全局引导图像滤波(G-GIF)的方法,有效地解决了昏暗的光,颜色失真和边缘细节丢失的问题。 实验表明,与其他方法相比,这种方法可以有效地解决图像曝光,同时可以更好地保护和增强图像的色彩饱和度和边缘纹理细节,从而实现了非常好的视觉效果。

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