Supplemental materials for the paper on Modeling Just Noticeable Differences in Charts accepted in IEEE VIS'21. paper link: https://deardeer.github.io/pub/VIS21_LSD.pdf. the bounds for conditions, meta data driven 7200 plots. the estimated jnds, sorted by chart type. Data dict:

一大堆文献提出了两种类型的jnd模型：图像域jnd和变换域jnd。 以下介绍图像域JND模型及其应用。 图像域JND模型可应用于低码率慢运动的场合例如视频电话，肩膀、头部的运动等。

最小可觉察误差 (JND, Just Noticeable Distortion)用于表示人眼不能察觉的最大图像失真，体现了人眼对图像改变的容忍度。 在 图像处理 领域，JND 可以用来度量人眼对图像中不同区域失真的敏感性。 目前已有多个 JND 模型被提出，这些 JND 模型主要可以分为 2 类：基于像素域的 JND模型和基于变换域的 JND 模型。 像素域 JND 模型能在像素域上更为直观地给出 JND 阈值，在视频编码时常常用于运动估计以及预测残差的滤波。 主要方法有： Ya ng 等人提出了经典的非线 …

2021年9月29日 · In this work, we model the perception of Just Noticeable Differences (JNDs), the minimum difference in visual attributes that allow faithfully comparing similar elements, in charts. Specifically, we explore the relation between JNDs and two major visual variables: the intensity of visual elements and the distance between them, and study it in ...

Through an empirical study, we identify main effects on JND for distance in bar charts, intensity in pie charts, and both distance and intensity in bubble charts. By fitting a linear mixed effects model, we model JND and find that JND grows as the exponential function of variables.

2014年9月4日 · 本文旨在研究临界可见误差（Just Noticeable Difference， JND）模型的小波域图像盲水印算法，并根据人类视觉系统（Human Visual System， HVS）的视觉特性，对宿主图像进行了二阶小波变换，并提出了较为新颖的实验算法，对实验结果进行了较为充分的分析。实验结果 ...

Through an empirical study, we identify main effects on JND for distance in bar charts, intensity in pie charts, and both distance and intensity in bubble charts. By fitting a linear mixed effects model, we model JND and find that JND grows as the exponential function of variables.

2021年9月29日 · Through an empirical study, we identify main effects on JND for distance in bar charts, intensity in pie charts, and both distance and intensity in bubble charts. By fitting a linear mixed...

Just-Noticeable-Difference (JND) measures the smallest detectable difference between two signals therefore can be utilized to quantify the perceivable distortion in the noise contaminated image. In this paper, a comprehensive review of JND models is provided.

just noticeable difference;JND 定 义 目视观察时可以区分出差异的最小阈限。 应用学科 测绘学（一级学科），地图学（二级学科）