NEG 模式可以检测来自图像增强的 VMAF 增益的大小 nef图像品质,图像质量评估指标相关文献:Imagequalityassessment:fromerrorvisibilitytostructuralsimilarity对于最终由人类观看图像的应用,量化视觉图像质量的唯一“正确”方法是通过主观评估。然而,在实践中,主观评估
In this paper, we show how popular quality metrics VMAF and its tuning-resistant version VMAF NEG can be artificially increased by video preprocessing. We propose a pipeline for tuning parameters of processing algorithms that allows increasing VMAF by up to 218.8%. A subjective comparison of ...
pipeline that tunes processing-algorithm parameters to increase VMAF by up to 218.8%. A subjective comparison revealed that for most preprocessing methods, a video's visual quality drops or stays unchanged. We also show that some preprocessing methods can increase VMAF NEG scores by up to 23.6%....
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