High dynamic range (HDR) technology allows more of the lighting in a specific scene to be captured at a set point in time, and thus is capable of delivering an overall view of the scene that more closely correlates with our visual experience in the real world, compared to standard, or low dynamic range (LDR) technology. Although HDR capabilities of single exposure capture systems are improving, the traditional method for creating HDR images still includes combing a number of different exposures, captured with an LDR system, into a single HDR image. Several use cases requiring absolute calibration of the resulting HDR luminance map have been undertaken, but none of these have provided a detailed analysis of the optical effects of glare on the results. We develop a calibrated HDR radiance map, including methodical linearization of captured image data, while characterizing the limitations due to the effects of optical glare. A purposely designed controlled test scene is used to challenge the calibrated reconstruction efforts, including low luminance levels, spatial inclusion of lens vignette over the full imaged area, and optical glare. Results demonstrate that even with careful processing and recombination of the LDR data, radiometric accuracy is limited as a result of glare. The proposed approach performs better than calibration methods in commercially available HDR recombination software.

中文翻译：

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通过基于多次曝光噪声的工作流程对 HDR 校准的光学影响

高动态范围 (HDR) 技术允许在设定的时间点捕获更多特定场景中的照明，从而能够提供与我们在现实世界中的视觉体验更密切相关的场景整体视图，与标准或低动态范围 (LDR) 技术相比。尽管单次曝光捕获系统的 HDR 功能正在改进，但创建 HDR 图像的传统方法仍然包括将使用 LDR 系统捕获的多个不同曝光组合成单个 HDR 图像。已经进行了几个需要对所得 HDR 亮度图进行绝对校准的用例，但这些用例都没有提供对眩光对结果的光学影响的详细分析。我们开发了一个校准的 HDR 辐射图，包括对捕获的图像数据进行有条不紊的线性化，同时表征由于光学眩光的影响而造成的限制。专门设计的受控测试场景用于挑战校准的重建工作，包括低亮度水平、整个成像区域上镜头晕影的空间包含以及光学眩光。结果表明，即使仔细处理和重新组合 LDR 数据，由于眩光，辐射测量精度也受到限制。所提出的方法比市售 HDR 重组软件中的校准方法表现更好。镜头晕影在整个成像区域的空间包含和光学眩光。结果表明，即使仔细处理和重新组合 LDR 数据，由于眩光，辐射测量精度也受到限制。所提出的方法比商用 HDR 重组软件中的校准方法表现更好。镜头晕影在整个成像区域的空间包含和光学眩光。结果表明，即使仔细处理和重新组合 LDR 数据，由于眩光，辐射测量精度也受到限制。所提出的方法比市售 HDR 重组软件中的校准方法表现更好。