High-Accuracy Digital Imaging of Cultural Heritage without Visual Editing
High-Accuracy Digital Imaging of Cultural Heritage without Visual Editing
复制标题
无需视觉编辑即可对文化遗产进行高精度数字成像
DOI：
--
复制
发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Nezamabadi
中科院分区：
文献类型：
--
作者：
R. Berns;L. Taplin;M. Nezamabadi
罗彻斯特理工学院的一项研究计划即将完成，旨在对美国博物馆、图书馆和类似机构的文化遗产直接数字成像质量进行基准测试。几乎所有接受调查的机构目前的做法都包括视觉编辑。数字母版包含相机空间处理、ICC 类型色彩管理（包括大色域 RGB 空间中的编码）以及全局和局部视觉编辑。 RIT 也正在进行一项研究计划，旨在开发一款集成光谱成像的高质量数码相机。假设使用新的相机系统时，不需要进行视觉编辑，从而大大提高工作流程效率和色彩准确性。进行了一项实验来检验这一假设。该实验包括对彩色目标和小画作进行基于光谱的成像，并为计算机控制的液晶显示器提供比色特征的光谱图像。在实验室中，在天花板上安装的日光平衡荧光灯的照射下，在显示器附近观看了目标和绘画。进行了各种定量比较，包括：反射分光光度测定法与原位光谱辐射测定法、反射分光光度测定法与基于光谱的成像、LCD 比色表征的正向和逆模型精度以及目标和绘画与其 LCD 渲染图的原位光谱辐射比较。使用 GretagMacbeth ColorChecker 作为独立验证目标，平均色差在 1.0 到 2.9 E00 之间变化。两幅画的平均准确度分别为 4.2 和 5.1 E00。即使在全球和本地图像编辑之后，这种准确性水平也超过了博物馆和图书馆所达到的水平，这证实了我们的假设，即无需视觉编辑即可创建文化遗产数字档案。
At Rochester Institute of Technology, a research program is near completion aimed at benchmarking the quality of direct digital imaging of cultural heritage in American museums, libraries, and similar institutions. The current practice at nearly all institutions surveyed includes visual editing. Digital masters incorporate camera spatial processing, ICCtype color management including encoding in a large-gamut RGB space, and global and local visual editing. Also at RIT, a research program is underway aimed at developing a highquality digital camera that incorporates spectral imaging. The hypothesis is that when using the new camera system, visual editing is unnecessary, greatly improving workflow efficiency and color accuracy. An experiment was performed to test this hypothesis. The experiment included spectralbased imaging of both color targets and small paintings and rendering the spectral images for a colorimetricallycharacterized computer-controlled LCD display. The targets and paintings were viewed adjacent to the display in a laboratory lit by ceiling-mounted daylight-balanced fluorescent lights. A variety of quantitative comparisons were performed including: reflectance spectrophotometry vs. in-situ spectroradiometry, reflectance spectrophotometry vs. spectral-based imaging, forward and inverse model accuracy of the LCD colorimetric characterization, and in-situ spectroradiometric comparison of targets and paintings compared with their LCD renderings. Using the GretagMacbeth ColorChecker as an independent verification target, average color differences varied between 1.0 and 2.9 E00. For two paintings, the average accuracy was 4.2 and 5.1 E00. This level of accuracy exceeded that achieved by museums and libraries, even following global and local image editing, confirming our hypothesis that it is possible to create a digital archive of cultural heritage without the need for visual editing.