JND

Watermarking algorithm for infrared image based on chaotic sequence and JND

基于混沌序列和JND的红外图像水印算法

Color Image Watermark Based on Run Length Coding and JND Threshold

基于行程编码和JND门限的数字水印算法

Model of the Relation of Intensity JND to Intensity of Tong

强度JND与强度关系的唯象模型

A Multi-Resolution Algorithm of Watermarking Based on JND Threshold

基于人眼JND门限的多分辨率水印嵌入算法

Digital Watermarking Via Multiple-based Number and JND Threshold in Wavelet Domain

基于多数字基整数和小波域JND的多重数字水印

The watermark based JND and wavelet decomposition .

基于JND的小波域水印算法。

Intensity JND of Tonal Bursts : Severe Departure from SPIN Theory

纯音脉冲强度JND测试值与SPIN理论严重背离

It also analyzes a newly proposed stereoscopic JND model in pixel domain , and discusses the associated encoding scheme .

本文又分析了当前新提出的像素域双目JND模型，并讨论了相关的编码方案。

Improved Algorithm for HD Picture Quality Assessment Based on JND Model Improvement of Bayesian Approach to Model Selection for Support Vector Machine Classifiers

一种针对高清图像的JND模型改进方法基于贝叶斯支持向量机模型选择算法改进

The relation between intensity JND and loudness of tone bursts

有限持续时间纯音的强度JND与强度的关系

Each watermark is added to the frequency coefficients of wavelet domain more than JND through positive modulation and negative modulation .

利用视觉特性将水印值正向和负向调制叠加在宿主图像大于各域值的小波系数上，具有很强的鲁棒性。

The thesis proposed a watermarking algorithm for color images on DWT by analyzing the principles of human vision system and the characteristics of JND system model .

分析了人类视觉系统的原理和JND视觉系统模型的特点，提出了一种基于DWT的彩色图像盲水印算法。

Quantization step of each coefficient is automatically computed in terms of the JND to adaptively embed watermarking .

在量化过程中，根据人眼视觉模型可见临界误差来确定每个系数的量化步长，实现了水印的自适应嵌入。

Meanwhile , through computing the JND value of the sub-frame , it can dynamically adjust the intensity of spread spectrum watermark while embedding .

并通过计算子区域JND值来动态调节扩频水印嵌入的强度值。

It is based on JND model which provides the maximum amount of watermark signal that can be tolerated at every image location without affecting the visual quality of the image .

该方案利用视觉感知模型对水印模版进行基于原图像内容的视觉掩蔽处理，然后引入低通滤波提升水印模版的抗噪和抗压缩能力。

The Just Noticeable Distortion ( JND ) model that quantitatively measure the redundancy of visual perception has become the mainstream in the perceptual video coding .

其中，JND（JustNoticeableDistortion）模型能够定量地度量感知冗余，因此成为感知视频编码中的主流。

Then , different JND thresholds are computed according to the depths of different regions , which are derived from the disparity field obtained from the previous disparity estimation .

然后，对于不同的区域，根据其深度求得不同的可见失真阈值，其中区域深度由之前视差估计得到的视差场推导出来。

First , the watermark embedding model was determined , which was achieved by the rule of modifying the wavelet coefficients , the watermark embedding intension was calculated by JND model .

确定水印嵌入模型，通过修改小波系数实现水印的嵌入，水印嵌入强度由JND门限计算得到。

To efficiently use JND to improve the coding performance , we model the JND in pixel domain , so wer choose background luminance sub-model and texture mask sub-model .

为了有效将JND和视频编码结合，论文考虑在象素域中进行JND建模，因此选用背景亮度子模型和纹理掩膜子模型计算JND。

The paper also describes the pivotal technologies which are applied in the software implementation and gives the experimental result and evaluation . The paper lastly provides a new evaluating indicator which uses JND to evaluate information carrying .

文章还对软件实现采用的关键技术进行了阐述，并给出了测试结果与评价，最后还提出了一种新的信息搭载评价方法-用JND值评价信息搭载。

Then , two extreme regions , i.e. , the luminance adaptation extreme regions for smooth blocks and contrast masking extreme regions for detailed blocks , were determined by the JND profile .

基于图像视觉阈值的临界可视误差分布，确定平坦区域中的亮度掩蔽极端区域和细节区域中的对比度掩蔽极端区域；

In contrast to conventional JND ( Just Noticeable Difference ) threshold model , JPW describing minimum perceptual sensitivity weighting to noise changes , is fitter for nonadditive watermarking .

与传统的仅可见视差（JND）阈值模型相比，JPW刻画了对噪声变化的最小感知权重，它更适合于非添加型水印。

In Digital Watermarking schemes , JND values can be calculated accurately using visual model , and accordingly embedded location and intensity can be decided appropriately in order to keep balance between imperception and robustness .

在数字水印中利用视觉模型可以比较精确的计算出人眼的JND值，从而确定水印分量的嵌入强度和位置，保持水印的不可见性和鲁棒性间的平衡。

In the algorithm , using the HVS to compute the JND threshold in wavelet domain of original image , the watermark information were embedded into a set of wavelet coefficients of lager JND threshold .

算法利用人类视觉特性和小波变换的特点对小波域JND门限模型进行改进，并计算载体图像各小波系数临界可见误差（JND）门限，通过选择一组JND门限较大的小波系数嵌入数字水印信息。

A spread spectrum based watermarking algorithm is proposed based on Watson model , which calculate the just noticeable difference ( JND ) of sub-block image , then the frequency points insensitive to change are chosen and embedded to improve the robust .

论文利用Watson模型提出一种基于扩频的数字水印算法，该算法通过计算图像分块的恰可察觉差（JND）选择中对改变不敏感的频率点进行嵌入，提高了水印的鲁棒性。

This algorithm utilizes JND threshold model of DWT domain to embed watermark values , able to primely distinguish common image processing from vicious tamper and be sensitive to vicious tamper and effectively orient the region of tamper .

该算法能够很好的把一般图像信号处理与恶意篡改攻击区分开来，并且对恶意篡改是敏感的，能够很好的定位篡改区域。

Host image was decomposed through the discrete wavelet transform . The JND threshold was calculated according to the human visual system characteristics , and the significant coefficients of wavelet were selected . Watermark image was embedded to the different frequency of the significant coefficients of wavelet .

将原始载体图像进行三级离散小波分解，根据人类视觉系统的视觉掩蔽特性计算出JND视觉门限值；选择重要小波系数，将数字水印分别嵌入到重要小波系数的不同频率域中。

A method is presented to build the wavelet coefficient set which can embed watermark information . The bit is inserted in the high activity texture regions with the maximum strength of Just Noticeable Distortion ( JND ) tolerance of Human Visual System ( HVS ) .

提出可嵌入水印的小波系数集生成方法，扩展了基于视觉系统（HVS）小波域量化噪声的视觉权重（JND）分析方法，使其适用于DEM数据，并能够自适应地确定水印嵌入的强度。

Calculating the JND thresholds in wavelet domain based on visual masking effect of human visual system , we can determinate the locations and strength for watermarks embedding . Changing the wavelet coefficients without excess the range of the just noticeable difference , the image is watermarked .

该算法通过利用人眼的视觉特性，计算小波域临界可见误差JND门限，选择加载水印信息的小波系数和控制加载的水印强度。

In this experiment , the control effects of antagonistic bacterium ( B-916 , H-91 , G-329 , P-6854 and JND ) a-gainst some common diseases in solanaceous vegetables ( root rot , damping-off and early blight of tomato ) were studied .

利用拮抗细菌（B-9l6、H-91、G-329、P-6854和JND）对茄果类蔬菜几种常见病害（根腐病、猝倒病和早疫病）进行室内外生物防治试验。