CRT显示器稳定性实验研究

用屏幕色度计对一台SONY-G520显示器的显色特性进行了测量,研究了其开机稳定性和短、中、长期内的色差及色度偏差。实验结果表明,开机后,显示器的亮度Y和色度x,y分别可在2h,30min和1h达到相对稳定状态,且在达到相对稳定后,在短、中、长期内的平均色差分别为0.0611,0.1469和1.2536CIELAB色差单位;在中期内,Y,x,y,L,a,b的平均偏差分别为0.0663,0.0008,0.0015,0.0695,0.4740和0.1766。通过对显示器稳定性的测量,为在对比度敏感测量和色貌模型、图像质量、图像感知模型评价等研究领域中用显示器进行实验研究奠定了基础。     

An Accurate Characterization of CRT Monitor (I) Verifications of Past Studies and Clarifications of Gamma

CRT monitors are widely used to view images on the Internet. The color images on the computer graphic display can be printed out or displayed on other monitors through the Internet, and color matching between the original and the reproduction is very important. The color management systems (CMSs) are useful for the color matching. CMSs utilize device profiles, in which color characteristic information is stored, and these profiles are generated by device characterization. Thus, an accurate characterization of the monitor is essential for better color matching. CRT monitor characteristics can be described by the tone reproduction curves (TRCs) of each channel, and color additive matrix. In this paper, these characteristics were investigated from a physical point of view. Various kinds of flare and the interdependence among the channels were also investigated and verified. The definition of the term “gamma” is clarified, which is very often used to describe the TRC. Various definitions are compared and a new definition of S-γ is proposed.     

The CRT is the scaling limit of unordered binary trees

We prove that a uniform, rooted unordered binary tree (also known as rooted, binary Pólya tree) with n leaves has the Brownian continuum random tree as its scaling limit for the Gromov‐Hausdorff topology. The limit is thus, up to a constant factor, the same as that of uniform plane trees or labeled trees. Our analysis rests on a combinatorial and probabilistic study of appropriate trimming procedures of trees. © 2011 Wiley Periodicals, Inc. Random Struct. Alg., 38, 467–501, 2011     

Self-marking phase-stepping electronic speckle pattern interfometry (ESPI) for 3D displacement measurement on cathode ray tube (CRT)-panels

This study demonstrates the feasibility of applying phase-shifting electronic speckle pattern interfometry to measure the deformation field of the front panel of a cathode ray tube, to support analysis to enhance the implosion-resistance capacity under violent collapse. Two effects, the air exhaustion and shrink band constraint effects, are comprehensively investigated. The angle of an adjustable mirror is switched, to provide three sensitivity vectors that are required in 3D-displacement measurement. A Fourier filtration is employed to remove speckle noise and establish a noise-free phase map. Inconsistent points are identified and masked to prevent any possible divergence during phase unwrapping. The results show that the accuracy of this method is satisfactory.     

数码彩扩机色域匹配模型研究

色域匹配是数码彩扩机实现图像颜色较好再现的关键.首先,采用一种较为实用的方法对CRT显示器进行了标定,运用Beer色料理论预测了彩色相纸的色域.在此基础上,运用非线性压缩算法实现从CRT到彩色相纸的色域匹配,同时提出了虚拟色域的概念,并加以分析研究.结果表明,非线性压缩色域匹配模型对于建立数码彩扩机的颜色管理系统具有重要实用价值.采用这种方法在国家高新技术激光数码彩扩机中取得了高质量的扩印效果.     

Estimation of Color-Difference Formulae at Color Discrimination Threshold Using CRT-Generated Stimuli

The advanced color-difference formulae, CMC, CIE94, and the recently proposed CIEDE2000 formula, together with the basic CIELAB system, were estimated using the chromaticity discrimination threshold data at CIE Gray and Blue color centers. Gray is the most basic color and blue is, perceptually, in the most different region from other areas across the color space. The test stimuli, evenly distributed in the (a#x2217;, b#x2217;)-, (a#x2217;, L#x2217;)-, and (b#x2217;, L#x2217;)-plane of the CIELAB space, were generated on a CRT display, driven by a VSG system. Each direction from each color center was assessed 3 times by a panel of 9 normal color-vision observers with the psychophysical method of interleaved staircase. The experimental data were reliable and consistent with other studies according to the observer accuracy and fitted ellipse parameters. A comprehensive analysis shows the color discrimination tolerances could be well fitted by ellipses, and the CIEDE2000 and CIELAB formulae performed better than CIE94 while the CMC worst at the threshold level for the color centers studied.     

用查找表搜索匹配方法标定CRT

传统的查找表法在标定ＣＲＴ 时,假定ＣＲＴ 单枪作用时所显示颜色的色品坐标恒定不变,而实际上却有较大变化,对标定的精度有较大的影响。因此提出用一种三维搜索匹配方法对查找表法进行改进,提高了ＣＲＴ 的标定精度。     

岛津GC-16A型气相色谱仪故障排除一例

岛津GC－16A型气相色谱仪因CRT显示器控制电路故障而导致主机死机，进而造成CR－7A型数据处理机无法与主机联机而死机。通过分析故障现象和电路结构，对主机部分电路进行改造，完全拆除主机上的CRT显示器控制电路，直接通过CR－7A型数据处理机控制主机，使主机不受CRT显示器控制电路的影响而稳定地工作。经改造后，气相色谱仪工作正常，不再出现死机现象。     

计算机拟合技术研究C18柱在富集PAEs时的萃取条件

利用固相萃取技术富集了水中5种邻苯二甲酸酯类(邻苯二甲酸二甲酯(DMP)、邻苯二甲酸二乙酯(DEP)、邻苯二甲酸二丁酯(DBP)、邻苯二甲酸二(2-乙基己基)酯(DEHP)、邻苯二甲酸二辛酯(DOP)).借助均匀设计法及计算机回归建模优化技术对5种PAEs的固相萃取条件进行了设计与优化,得到最佳固相萃取条件为: 洗脱剂配比: V(正己烷)∶V(丙酮)=30∶1,洗脱体积2 mL,洗脱流速为4 mL/min,上样流速8 mL/min.富集后的样品用带电子捕获检测器的毛细管气相色谱检测,方法的线性范围为1～1000 μg/L (DMP,DEP,DOP),0.2～100 μg/L (DBP,DEHP);线性回归方程的相关系数为0.9970～1.000,检出限为0.02～0.4 μg/L,方法回收率为69%～117%,相对标准偏差为2.2%～9.5%.     

Testing CIELAB-based color-difference formulae using large color differences

Three advanced CIELAB-based color-difference formulae, CMC, CIE94, and CIEDE2000, together with the basic CIELAB equation, were tested using large color-difference visual data (maximum average size was 12 CIELAB ΔE units) produced in this study. The color-difference comparison experiment was carried out at CIE Gray and Blue centers by a panel of 6 normal color-vision observers using CRT-generated stimuli based on the psychophysical method of constant stimuli. The experimental data, processed via probit analysis, were well fitted to chromaticity ellipses with a high reliance according to the observer accuracy in terms ofPF/3 measure. A detailed comparison was performed to analyze the agreement between predicted color differences from all formulae and their corresponding visual scales in all measurement planes of CIELAB space. The results show that the CIEDE2000 marginally outperformed the others at all color centers while CIE94 was the worst in original formulae or with optimizedk _L value, but the CIELAB performed worst when the parametric factors ofk _L,k_c, andk _H were all optimized, with the CMC always lying between these extremes.