A non-device-specific approach to display characterization based on linear, nonlinear, and hybrid search algorithms
A non-device-specific approach to display characterization based on linear, nonlinear, and hybrid search algorithms
复制标题
DOI：
10.1167/13.6.20
复制
发表时间：
2013-01-01
影响因子：
1.8
通讯作者：
Yamamoto, Hiroki
中科院分区：
文献类型：
--
作者：
Ban, Hiroshi;Yamamoto, Hiroki
在几乎所有最近的视觉实验中，刺激都是通过计算机控制并呈现在阴极射线管（CRT）等显示设备上的。显示表征是计算机辅助视觉实验的必要步骤。被称为“伽马校正”的标准显示表征和随后的线性颜色变换过程是为CRT显示器建立的，并且在当前视觉科学领域中被广泛使用。然而，标准的两步过程是基于CRT显示设备的内部模型，并且不能保证该方法是否适用于其他类型的显示设备，例如液晶显示器和数字光处理。因此，我们测试了标准方法对这些新器械的适用性，发现标准方法对这些新器械无效。为了克服这个问题，我们提供了几种新的视觉实验方法来表征显示设备，基于线性，非线性和混合搜索算法。这些方法从不假设显示设备的任何内部模型，因此将适用于任何显示类型。基于这些新方法的色度估计精度与标准方法的评估和比较证明，我们提出的方法大大提高了非CRT设备的校准效率。我们提出的方法，连同标准的，已实现在一个基于MATLAB的集成图形用户界面软件名为Mcalibrator 2。该软件可以提高视觉实验的准确性，并实现更有效的显示表征程序。该软件现已免费公开提供。
In almost all of the recent vision experiments, stimuli are controlled via computers and presented on display devices such as cathode ray tubes (CRTs). Display characterization is a necessary procedure for such computer-aided vision experiments. The standard display characterization called "gamma correction" and the following linear color transformation procedure are established for CRT displays and widely used in the current vision science field. However, the standard two-step procedure is based on the internal model of CRT display devices, and there is no guarantee as to whether the method is applicable to the other types of display devices such as liquid crystal display and digital light processing. We therefore tested the applicability of the standard method to these kinds of new devices and found that the standard method was not valid for these new devices. To overcome this problem, we provide several novel approaches for vision experiments to characterize display devices, based on linear, nonlinear, and hybrid search algorithms. These approaches never assume any internal models of display devices and will therefore be applicable to any display type. The evaluations and comparisons of chromaticity estimation accuracies based on these new methods with those of the standard procedure proved that our proposed methods largely improved the calibration efficiencies for non-CRT devices. Our proposed methods, together with the standard one, have been implemented in a MATLAB-based integrated graphical user interface software named Mcalibrator2. This software can enhance the accuracy of vision experiments and enable more efficient display characterization procedures. The software is now available publicly for free.