论文标题
用于评估色化的空间色调相似性度量
A spatial hue similarity measure for assessment of colourisation
论文作者
论文摘要
灰色尺度图像的自动化是一个不良的多模式问题。在存在全参考图像的地方，客观的性能指标依赖于像素差异技术，例如MSE和PSNR。这些措施惩罚除参考地面真相以外的任何合理模式；如果它们在与地面真相的像素距离处接近，他们通常无法充分惩罚不可信的模式。由于这些是像素差异方法，因此他们无法评估空间相干性。我们使用来自Ciel*A*B*彩色空间的A*B*通道的极性形式来分开多模式问题，我们将其局限于色相通道，以及适用于Chroma通道的共同模式。我们将SSIM应用于色度通道，但将SSIM重新为色相通道，以使我们称为“空间色调相似性度量（SHSM）”。这种重新制定使空间连接的色调渠道能够获得很高的分数，同时惩罚空间上的模式。该方法允许对SOTA色化方法进行定性和定量性能比较，并减少对主观人类视觉检查的依赖。
Automatic colourisation of grey-scale images is an ill-posed multi-modal problem. Where full-reference images exist, objective performance measures rely on pixel-difference techniques such as MSE and PSNR. These measures penalise any plausible modes other than the reference ground-truth; They often fail to adequately penalise implausible modes if they are close in pixel distance to the ground-truth; As these are pixel-difference methods they cannot assess spatial coherency. We use the polar form of the a*b* channels from the CIEL*a*b* colour space to separate the multi-modal problems, which we confine to the hue channel, and the common-mode which applies to the chroma channel. We apply SSIM to the chroma channel but reformulate SSIM for the hue channel to a measure we call the Spatial Hue Similarity Measure (SHSM). This reformulation allows spatially-coherent hue channels to achieve a high score while penalising spatially-incoherent modes. This method allows qualitative and quantitative performance comparison of SOTA colourisation methods and reduces reliance on subjective human visual inspection.
