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HTRI: High time range imaging

机译：HTRI：高时间范围成像

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HDRI (High Dynamic Range Imaging) techniques are used to produce dynamic and well-contrasted images of real-world luminance, by capturing several images of the same scene through exposure bracketing. In the same vein, we have developed a new approach to image fusion from a series of photographs of the same scene taken at different timestamps. When compared with HDRI, exposure bracketing at a single timestamp is replaced by timestamp variation disregarding exposure times. Because of the parallel between these two approaches, this technique is called HTRI (High Time Range Imaging), it aims at capturing ephemeral events occurring over a long time period during which a sequence of images is shot. For each pixel location, the most salient colors are privileged in the series of photographs. The choice of the saliency criterion is based on an analysis of the existing admitted definitions of visual attention. In a second stage, a higher priority is assigned to the pixels with high temporal saliency, i.e., which appear very briefly in the sequence, jointly producing spatial and temporal changes of contrast between two successive frames. The proposed algorithm captures all these salient objects in the final image, without introducing a significant amount of noise, and despite the large illumination changes that may occur in the acquisition conditions from one frame to the next. Experiments evaluate the impact of the method parameters, and confirm benefits of HTRI compared to other fusion techniques.
机译：HDRI（高动态范围成像）技术用于通过曝光包围来捕获同一场景的多个图像，从而生成真实亮度的动态和对比度良好的图像。同样，我们还开发了一种新的图像融合方法，可以从在不同时间戳记下的同一场景的一系列照片中提取图像。与HDRI相比，不考虑曝光时间的时间戳变化会取代单个时间戳的包围曝光。由于这两种方法之间的并行性，该技术被称为HTRI（高时间范围成像），其目的是捕获在拍摄一系列图像期间的很长一段时间内发生的短暂事件。对于每个像素位置，在一系列照片中优先使用最显着的颜色。显着性标准的选择是基于对现有的视觉注意的公认定义的分析。在第二阶段中，较高的优先级被分配给具有高时间显着性的像素，即，其在序列中非常短暂地出现，从而共同在两个连续帧之间产生对比度的时空变化。所提出的算法捕获最终图像中的所有这些显着对象，而不会引入大量噪声，尽管在从一帧到下一帧的采集条件下可能会发生很大的照明变化。实验评估了方法参数的影响，并证实了HTRI与其他融合技术相比的优势。

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