Just Noticeable Difference Model for Images with Color Sensitivity.
Just Noticeable Difference Model for Images with Color Sensitivity.
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DOI：
10.3390/s23052634
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发表时间：
2023-02-27
期刊：
影响因子：
--
通讯作者：
Wang G
中科院分区：
文献类型：
--
作者：
Zhang Z;Shang X;Li G;Wang G
JND模型反映了人类视觉系统(HVS)的可见性限制，在感知图像/视频处理中起着重要作用，通常用于感知冗余去除。然而，现有的JND模型通常是通过平等对待三个通道的颜色分量来构建的，并且它们对掩蔽效果的估计是不够的。在本文中，我们引入了视觉显著和颜色敏感性调制来改进JND模型。首先，我们综合运用对比度掩蔽、图案掩蔽和边缘保护来估计掩蔽效果。然后，考虑人眼视觉的显著程度，对掩蔽效果进行自适应调制。最后，根据人眼视觉系统的感知敏感度，建立颜色敏感度调制模型，调整Y、Cb、Cr分量的亚JND阈值。由此，构建了基于颜色敏感性的JND模型(CSJND)。通过大量的实验和主观测试来验证CSJND模型的有效性。我们发现CSJND模型和HVS模型之间的一致性比现有的最先进的JND模型更好。
The just noticeable difference (JND) model reflects the visibility limitations of the human visual system (HVS), which plays an important role in perceptual image/video processing and is commonly applied to perceptual redundancy removal. However, existing JND models are usually constructed by treating the color components of three channels equally, and their estimation of the masking effect is inadequate. In this paper, we introduce visual saliency and color sensitivity modulation to improve the JND model. Firstly, we comprehensively combined contrast masking, pattern masking, and edge protection to estimate the masking effect. Then, the visual saliency of HVS was taken into account to adaptively modulate the masking effect. Finally, we built color sensitivity modulation according to the perceptual sensitivities of HVS, to adjust the sub-JND thresholds of Y, Cb, and Cr components. Thus, the color-sensitivity-based JND model (CSJND) was constructed. Extensive experiments and subjective tests were conducted to verify the effectiveness of the CSJND model. We found that consistency between the CSJND model and HVS was better than existing state-of-the-art JND models.
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作者：
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