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Evaluating tone mapping algorithms for rendering non-pictorial (scientific) high-dynamic-range images

机译:评估色调映射算法以渲染非图片(科学)高动态范围图像

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Nine algorithms were implemented to overcome the problem associated with rendering high-dynamic-range scientific imagery to low-dynamic-range display devices. The algorithms were evaluated using two paired-comparison psychophysical experiments judging preference and "scientific usefulness". The results showed that, on average, the Zone System algorithm performed best and the Local Color Correction method performed the worst. However, the performance of the algorithms depended on the type of data being visualized. The low correlation between the preference and scientific usefulness judgments (R~2 = 0.31) indicated that observers used different criteria when judging the image preference versus scientific usefulness. The experiment was repeated using expert observers (radiologists) for an MR scan (Medical image). The results showed that the radiologists used similar criteria as the non-expert observers when judging the usefulness of the rendered images. A target detection experiment was conducted to measure the detectability of an embedded target in the Medical image. The result of the target detection experiment illustrated that the detectability of targets in the image is greatly influenced by the rendering algorithms due to the inherent difference in tone mapping among the algorithms.
机译:实施了九种算法来克服与将高动态范围科学图像渲染到低动态范围显示设备相关的问题。使用两个配对比较的心理物理实验对算法进行评估,以判断偏好和“科学实用性”。结果表明,平均而言,区域系统算法表现最佳,而局部色彩校正方法表现最差。但是,算法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较低(R〜2 = 0.31),表明观察者在判断图像偏好与科学有用性时使用了不同的标准。使用专业的观察员(放射科医生)重复进行该实验,以进行MR扫描(医学图像)。结果表明,放射科医生在判断渲染图像的有用性时,使用了与非专业观察员相似的标准。进行了目标检测实验,以测量医学图像中嵌入目标的可检测性。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,绘制算法极大地影响了图像中目标的可检测性。

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