Since human being is the final receiver of the image, the key point of the image assessment is that it should match the characteristics of HVS(human visual system).
由于图像的最终接受者是人，所以评价图像质量的关键在于其是否符合人类视觉系统特性。
A nature scene image color-texture feature extraction method based on human visual system (HVS) was proposed.
提出了基于人类视觉系统的自然场景图像颜色和纹理特征提取方法。
In this paper, we propose an adaptive digital image watermarking algorithm using successive subband quantization (SSQ) and human visual system (HVS) based on wavelet domain.
本文提出了一种基于连续子带量化(SSQ)和人类视觉系统(HVS)的小波域自适应数字水印算法。
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。
An algorithm of digitalimage blind watermarking technique combined with human visual system(HVS) is introduced, this algorithm uses common aspect between HVS and wavelet to embed watermarking.
提出了一种结合人类视觉系统的数字图像盲水印技术，它利用小波变化和人类视觉系统的共通点，进行水印的嵌入。
At last, it is presented that image quality assessment method combined modulation transfer function (MTF) with human visual system (HVS) may be a new breakthrough to solve the image quality problem.
文章最后指出基于调制传递函数(MTF)测定并结合人眼视觉系统(HVS)模型的影像质量评价方法有望成为解决影像质量评价难题的突破点。
Since human being is the final receiver of output of digital image processing, the characteristics of human visual system (HVS) must be incorporated into the criterion of image quality evaluation.
由于数字图像处理结果的最终接受者是人，因此在评价图像质量时必须考虑到人类视觉系统的特性。
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。
Human visual system has some masking effects, that is the reason why steganography based on the characteristic of HVS has good visual imperceptibility and large payload.
由于视觉系统具有一些视觉掩蔽效应，因此基于视觉特性的图像隐写算法可以在保证较大的数据嵌入量的同时，使得隐写图像保持良好的视觉效果。
A CBR (constant bit rate) coding algorithm based on traits of human visual system (HVS) is proposed.
根据人体视觉系统（HVS）的特点，提出了一种固定码率压缩算法。
In this thesis, first, color Spaces and color models are introduced, the Human Visual System (HVS) is explicated and lateral inhibition mechanism is emphasized.
本文首先介绍了各种彩色空间，细致地分析了人眼视觉系统，并着重剖析了其中的侧抑制现象。
Data were embedded into the Least Significant Bit-plane (LSB) of high frequency CDF (2, 2) integer wavelet coefficients, which accorded with the principle of Human Visual System (HVS).
在图像的小波子带系数的最低位(LSB)嵌入隐藏数据，将数据嵌入到小波cdf(2,2)的高频子带系数中，符合人的视觉系统原理(HVS)。
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。
This thesis mainly studies adaptive digital image watermarking algorithms based on human visual system (HVS).
本文主要研究基于人眼视觉特性的自适应图像水印算法。
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。
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。
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