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- The wavelet coefficients are selected by Human Visual System (HVS) to ensure the transparence of watermarking. 同时基于人眼视觉系统，对嵌入系数进行筛选以保证水印的透明性。
- After that,these blocks are classified by the model based on human visual system(HVS)and the model based on energies. 然后根据人类视觉系统(HVS)模型和能量模型,对小波子块进行模糊分类。
- We presented a novel watermarking method based on wavelet packets transform and human visual system (HVS). 摘要提出一种基于人类视觉特性和小波包分解的数字水印算法。
- Not only is it a crucial feature of objects, but also an important part of HVS(Human Visual System). 对称性既是物体的重要特征，又是人类视觉感知组织系统中的重要组成部分。
- A new method is presented to construct a kind of compactly supported biorthogonal wavelet based on human visual system. 构造了一个与人的视觉系统模型的调制转移函数相近似的紧支撑双正交小波基。
- We presented a novel watermarking method based on wavelet packets transform and human visual system(HVS). 提出一种基于人类视觉特性和小波包分解的数字水印算法。
- This paper expands the just noticeable distortion (JND) analysis based on the human visual system (HVS) to apply it in the DEM data. 扩展了只针对图像的基于视觉系统(human visual system;简称HVS)小波域量化噪声的视觉权重(justnoticeable distortion;简称JND)分析方法;使其适用于DEM数据;自适应地确定信息隐藏的强度.
- So a FR algorithm is designed by fusing holistic and local features in subspaces, which is inspired by Human Visual System (HVS). 本文模仿人类视觉系统的特点,提出了融合局部和整体特征子空间的算法。
- According to the multi-channel modals of the human visual system, researchers are paying more attention to the assessment of image luminance details. 摘要依据人眼视觉系统的多通道模型，评价图像亮度细节的质量，目前已经成为一个活跃的研究方向。
- Before we begin our discussion of these illusions, however, we need to recall how the human visual system processes color. 在开始讨论这些错觉之前，我们必须先复习一下人类视觉系统如何处理颜色。
- Fortunately, ongoing work on illusory colors will continue to offer a tantalizing portal into the complexities of the human visual system. 幸运的是，目前进行中的错觉颜色研究，将会为复杂的人类视觉系统，持续开启一扇诱人的大门。
- According to the features of medical images and human visual system,a new nonlinear pseudocolor coding method based on gradient value is developed. 根据医学图像的特点和人的视觉特性,提出了一种基于梯度的非线性伪彩色编码新方法。
- If you understand several basic principles of the human visual system, you can eliminate inefficiencies and increase speed while improving retention. 只要弄明白人类视觉系统的几个基本原则，就能够消除低效率提高速度改善记忆。
- Firstly, a watermark was embedded in low band of DWT domain according to the conceal quality of human visual system (HVS). 该算法根据人类视觉系统的特性，将水印自适应地嵌入图像小波域的低频子带。
- Presents an algorithm of text steganography based on the insensitivity of HVS(Human Visual System) to space (between) punctuation and context. 利用人类的视觉系统(HVS)对标点符号和上下文之间的间隔的不敏感,提出了用文本中标点符号的左右是否出现空格来代表密文的01信息。
- Based on the features of human visual system (HVS) a new watermarking algorithm that combines spatial and DCT domain is proposed for digital images in this paper. 本文基于人类视觉系统（HVS）的特性,提出了一种结合空间域和DCT变换域的数字水印新算法。
- The four are list in detail as follow. Firstly, considering the features of human visual system (HVS) and the wavelet transform, a new adaptive watermarking algorithm is proposed. 所提出的四种算法具体如下:考虑到人类视觉系统(HVS)特性和小波变换特性,提出了一种新的自适应水印算法。
- In this paper,a coefficient model of the anisotropic diffusion based on the characteristic of human visual system(HVS) is proposed and a diffusion speed parameter is employed. 根据人类视觉系统的特性提出一个各向异性扩散系数模型,并且引进了扩散速率因子。
- Then,by exploiting Human Visual System(HVS) and characteristic of digital image processing,watermark is embedded into the specific DCT coefficients of the original image. 结合人类视觉系统(HVS)的特性和数字图像常规处理特点,对水印在原始宿主图像DCT域中的嵌入位置进行选择,利用扩频原理实现水印的嵌入。
- This paper introduces you all these algorithms and focus on a newly forwarded robust digital image watermarking algorithm,which was based on human visual system,using NVF. 在介绍当前流行的鲁棒算法后,重点介绍了一种最新的基于人眼视觉模型,即基于NVF的鲁棒数字图像水印算法,并对该算法与流行的算法进行了不可感知性上的仿真对比。
