HVS

Caused by herpes simplex virus type 1 ( HVS-1).

由单纯型包疹病毒引起。

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Visual attention is one of the most important mechanisms of the human visual system ( HVS ).

视觉选择性注意机制是人类视觉系统的重要组成部分.

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A new watermarking technique based on HVS and error diffusion was introduced embedin halftone image.

介绍了一种基于HVS和误差扩散的半色调图像数字水印方法.

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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。

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Visual model is to model HVS using mathematics method.

视觉模型是用数学方法对人类视觉系统(HVS) 进行建模.

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Utilize Y component of YUV color space to embed the watermark, calculated HVS.

利用彩色图像的YUV色彩空间的Y分量嵌入水印。

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To explore the clinical epidemic rule and the influence factors hyperviscosity syndrome ( HVS ).

犤 目的犦探讨高黏滞血症临床流行规律及其影响因素.

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However, the CP intake of HVS is higher than DSBM ( P < 0.01 )

而CP摄入量HVS组显著高于DSBM组 ( P<0.01 ).

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It is based on texture masking, video motion and scene analysis and model the Masking Function, which is an important feature of HVS.

该方法基于纹理掩模，运动信息和场景分析的知识，对人眼的重要特性&掩膜效应，进行了建模。

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This Thesis proposes a novel macroblock-level RDO algorithm based on perceptual features of HVS.

本文提出了一个基于HVS感知特性的、以宏块为基本单位的RDO算法。

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In this paper, a novel fragile watermarking scheme based on HVS in DWT domain is proposed.

基于小波变换,结合量化调制过程,论文提出了一种易损水印算法.

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Examinations show that our arithmetic can make good use of HVS system, and is robust to common image processing such as noise, mean-filter, sub-sample and JPEG compress. String-type watermark is more robust.

经过试验检验，该算法不仅能很好地结合HVS系统，且对一般图像处理（对抗噪声、均值滤波、亚抽样和JPEG压缩）都具有好的鲁棒性，字符型水印的效果更佳。

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Moreover, we consider the characters of HVS Human Visual System , consequently watermark has nice invisibility.

同时算法结合人眼视觉系统(HVS)特性, 保证了水印的不可见性.

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Adaptive texture segmentation method based on property of HVS

基于人类视觉特性的纹理分割方法

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An Information Hidden Algorithm for Two-Dimensional Engineering Graphics Based on HVS and Entity Color Palette

基于HVS与实体调色板的二维工程图信息隐藏算法

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The proposed scheme considers the features of the human vision system ( HVS ) very richly.

该算法充分考虑了人类视觉系统 ( HumanVision System, HVS ) 的掩蔽特性.

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Two blind watermark algorithms based on HVS in DCT domain are proposed.

提出了DCT变换域上基于人类视觉特性(HVS)的两种盲水印添加方法.

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The embedding process is completed in DWT domain by exploiting the characteristics of HVS.

该算法利用人类视觉系统(HVS)的特征在离散小波变换(DWT)域中来嵌入水印.

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According to these, we finally establish mathematical models of HVS noise threshold and IQS based on CCIR five-point quality scale.

在此基础上，建立了基于CCIR五级质量标准的HVS噪声阈值数学模型和IQS数学模型。

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According to the HVS's characteristic, the watermarking embedding intensity is determined at the same time.

同时根据HVS的特点来确定水印的嵌入强度.

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Study of Application of HVS Model to JPEG 2000

视觉模型在JPEG2000中的应用研究

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