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首页> 外文会议>Color Imaging Conference: Color Science and Engineering: Systems, Technologies, Applications; 20041109-12; Scottsdale,AZ(US) >Rendering Non-Pictorial (Scientific) High Dynamic Range Images
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Rendering Non-Pictorial (Scientific) High Dynamic Range Images

机译：渲染非图片（科学）高动态范围图像

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摘要

This research integrates the techniques used for the display of high dynamic range pictorial imagery for the practical visualization of non-pictorial (scientific) imagery such as remote sensing, medical imaging, astronomical imaging, etc. for data mining and interpretation. Nine algorithms were utilized to overcome the problem associated with rendering high dynamic range image data to low dynamic range display devices, and the results were evaluated using psychophysical experiments. Two paired-comparison experiment judging preference and scientific usefulness and a target detection experiment were performed. The paired-comparison results indicate that the Zone System algorithm performs the best on average and the Local Color Correction method performs the worst for both paired-comparison experiments. The results show that the performance of different encoding schemes depend on the type of data being visualized. The correlation between the preference and scientific usefulness judgments (R~2= 0.31) demonstrates that observers tend to use different criteria when judging the scientific usefulness versus image preference. The result of the target detection experiment illustrates that the detectability of targets in an image is greatly influenced by the rendering algorithm due to the inherent differences in tone mapping among the algorithms.
机译：这项研究整合了用于高动态范围图像图像显示的技术，以实现非图像（科学）图像的实际可视化，例如遥感，医学成像，天文成像等，以进行数据挖掘和解释。利用九种算法来克服与将高动态范围图像数据渲染到低动态范围显示设备相关的问题，并使用心理物理实验评估了结果。进行了两个判断偏好和科学有用性的配对实验和一个目标检测实验。配对比较结果表明，对于两个配对比较实验，“区域系统”算法平均表现最佳，而“局部色彩校正”方法表现最差。结果表明，不同编码方案的性能取决于可视化数据的类型。偏好与科学有用性判断之间的相关性（R〜2 = 0.31）表明，观察者在判断科学有用性与图像偏好时倾向于使用不同的标准。目标检测实验的结果表明，由于算法之间色调映射的内在差异，渲染算法极大地影响了图像中目标的可检测性。

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