论文标题

在增强水下图像的感知质量度量的范围内

On the limits of perceptual quality measures for enhanced underwater images

论文作者

Li, Chau Yi, Cavallaro, Andrea

论文摘要

在水下图像中物体的外观通过光的选择性衰减而降低,从而减少对比度并引起颜色铸造。这种降解取决于水环境,并随着物体与相机的距离而增加。尽管水下图像增强和恢复中的作品数量增加,但缺乏普遍接受的评估措施正在阻碍进度,因为很难比较方法。在本文中,我们审查了常用的色彩精度度量,例如颜色繁殖误差和CIEDE2000,以及无引用的图像质量度量,例如UIQM,UCIQE和CCF,尚未系统地验证。我们表明,没有一项无参考质量措施令人满意地对增强的水下图像的质量进行评分并讨论其主要缺点。图像和结果可在https://puiqe.eecs.qmul.ac.uk上找到。

The appearance of objects in underwater images is degraded by the selective attenuation of light, which reduces contrast and causes a colour cast. This degradation depends on the water environment, and increases with depth and with the distance of the object from the camera. Despite an increasing volume of works in underwater image enhancement and restoration, the lack of a commonly accepted evaluation measure is hindering the progress as it is difficult to compare methods. In this paper, we review commonly used colour accuracy measures, such as colour reproduction error and CIEDE2000, and no-reference image quality measures, such as UIQM, UCIQE and CCF, which have not yet been systematically validated. We show that none of the no-reference quality measures satisfactorily rates the quality of enhanced underwater images and discuss their main shortcomings. Images and results are available at https://puiqe.eecs.qmul.ac.uk.

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