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A perceptually based physicla error metric for realistic image synthesis

机译:一种感知的基于物理图像合成的物理误差度量

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We introduce a new concept for accelerating realistic image synthesis algrithms.At the ocre of this procedure is a novel physical error metric that correctly predicts the perceptual threshold for detecitng artifacts in cene4 features.Built into this metric is a ocmputational model of the human visual system's loss of sensitiviyt at high back ground illumination levels,high spatial frequencies,and high contrast levels (visual masking).An important feature of our model is that it handles the luminance-dependent processing and spatially dependent processing independetly.This allows us to precompute the expensive spatially-dependent component,making our model extremely efficient.
机译:我们介绍了加速现实图像综合Algrithms的新概念。该过程的OCRE是一种新的物理误差度量,可以正确地预测CENE4特征中的Detecitng工件的感知阈值.Built进入该度量是人类视觉系统的模型模型在高背地面照明水平,高空间频率和高对比度水平(视觉屏蔽)中的丧失丧失.AN我们模型的重要特征是它处理亮度相关的处理和独立依赖性处理。这使我们能够预编译昂贵的空间依赖性组件,使我们的模型非常有效。

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