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Quality Assessment of HDR/WCG Images Using HDR Uniform Color Spaces

机译:使用HDR均匀色彩空间对HDR / WCG图像进行质量评估

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High Dynamic Range (HDR) and Wide Color Gamut (WCG) screens are able to render brighter and darker pixels with more vivid colors than ever. To assess the quality of images and videos displayed on these screens, new quality assessment metrics adapted to this new content are required. Because most SDR metrics assume that the representation of images is perceptually uniform, we study the impact of three uniform color spaces developed specifically for HDR and WCG images, namely, I C t C p , J z a z b z and H D R - L a b on 12 SDR quality assessment metrics. Moreover, as the existing databases of images annotated with subjective scores are using a standard gamut, two new HDR databases using WCG are proposed. Results show that MS-SSIM and FSIM are among the most reliable metrics. This study also highlights the fact that the diffuse white of HDR images plays an important role when adapting SDR metrics for HDR content. Moreover, the adapted SDR metrics does not perform well to predict the impact of chrominance distortions.
机译:高动态范围(HDR)和宽色域(WCG)屏幕能够以比以往更鲜艳的色彩渲染更亮和更暗的像素。为了评估在这些屏幕上显示的图像和视频的质量,需要适用于此新内容的新质量评估指标。因为大多数SDR指标都假设图像的表示在感知上是统一的,所以我们研究了专门针对HDR和WCG图像开发的三个统一色彩空间,即IC t C p,J zazbz和HDR -L ab对12 SDR质量评估的影响指标。此外,由于现有的带有主观评分的图像数据库使用的是标准色域,因此提出了两个使用WCG的新HDR数据库。结果表明,MS-SSIM和FSIM是最可靠的指标。这项研究还强调了这样一个事实,即在使SDR指标适应HDR内容时,HDR图像的漫白会发挥重要作用。此外,调整后的SDR度量不能很好地预测色度失真的影响。

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