In low frequency sub band, the watermarking is embedded into host by the way of pixel-to-pixel embedding according to HVS model.
在低频分量部分，基于HVS视觉模型，将水印信号逐点变化地嵌入到原始图像中；
To satisfy the balance between the robustness and the imperceptivity, the HVS model is used to adaptively adjust the watermark embedding strength.
为了满足鲁棒性和不可感知性之间的平衡，使用人类视觉模型自适应地调节水印的嵌入强度。
To make the compromise between the robustness and the imperceptivity, a new 3-d HVS model is reconstructed and used to adjust the embedding strength.
为了平衡鲁棒性和不可感知性，新的适用于3维的人类视觉模型被重构并用于调整水印的嵌入强度。
The HVS model is based on the computation of the noise visibility function (NVF) and embed at the texture and edge region stronger embedded watermarks.
模型基于噪声可见性函数(NVF)的计算来决定水印嵌入强度，使水印更多的嵌入到图像的纹理和边缘区域。
The conventional quadric rate-distortion model was improved and a new one was introduced by incorporating the human visual system (HVS) characteristics.
算法对传统二次率失真模型进行了改进，并结合人眼的立体视觉特性，提出了新的码率控制策略。
An image noise detection model was given and two no-reference quality assessment methods based on HVS were proposed.
给出图像噪声检测模型，提出了两种基于HVS的图像信噪比无参考质量评价方法。
An image noise detection model was given and two no-reference quality assessment methods based on HVS were proposed.
给出图像噪声检测模型，提出了两种基于HVS的图像信噪比无参考质量评价方法。
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