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A Novel DCT-Based JND Model for Luminance Adaptation Effect in DCT Frequency

机译:基于DCT的新型JND模型,用于DCT频率下的亮度适应效果

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Many conventional DCT based Just Noticeable Distortion (JND) models incorporate luminance adaptation (LA) effect of the human visual system (HVS). The conventional LA-JND models exploit only background luminance to estimate JND values. In this letter, we reveal that the LA effect of HVS depends not only on background luminance but also on frequency in DCT domain. In addition, we first propose a novel DCT-based LA-JND model that takes into account its frequency characteristics. From our psychophysical experiment results, we found that the LA-JND threshold exhibits quasi-parabolic shapes with lower and higher curvatures in lower and higher frequency ranges, respectively. Our subjective evaluation shows that the proposed LA-JND model yields almost invisible distortions for test images with average PSNR of 29.11 dB, which is 2.63 dB lower than the other models for comparison, showing higher consistency with real visual perception for the LA in DCT domain.
机译:许多基于DCT的常规常规正畸形(JND)模型都结合了人类视觉系统(HVS)的亮度适应(LA)效果。常规的LA-JND模型仅利用背景亮度来估计JND值。在这封信中,我们揭示了HVS的LA效应不仅取决于背景亮度,而且取决于DCT域中的频率。另外,我们首先提出一种新颖的基于DCT的LA-JND模型,该模型考虑了其频率特性。从我们的心理物理实验结果中,我们发现LA-JND阈值分别在较低和较高的频率范围内呈现出具有较低和较高曲率的准抛物线形状。我们的主观评估显示,对于平均PSNR为29.11 dB的测试图像,建议的LA-JND模型产生几乎不可见的失真,比其他模型要低2.63 dB,在DCT域中与LA的真实视觉感知显示出更高的一致性。 。

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