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Choosing an Optimal Bracketing Sequence for HDR Imaging

机译:选择HDR成像的最佳包围序列

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In this paper we present a new concept of selecting a subset of significant images from a large sequence of multi exposure bracketing photographs, used for HDR imaging. Presented algorithm picks up several frames from a sequence taken with increasing exposure and use them to generate high dynamic range image. The choice allows us to obtain the photos with important data and to discard the images with redundant or deformed visual information, like overburned or dark areas. We have tested the presented technique by selecting n = 7 significant frames from the bracketing sequence of 49 elements. The chosen photos have been used to compose an HDR image which contains a maximum insight of the scene with a minimal presence of luminous deformations.
机译:在本文中,我们提出了一种从用于HDR成像的大序列从大量的多曝光包围照片中选择重要图像的子集的新概念。呈现的算法从随着曝光的增加并使用它们来产生高动态范围图像的序列中拾取了几个帧。选择允许我们使用重要数据获取照片,并丢弃具有冗余或变形的视觉信息的图像,如大块或黑暗区域。我们通过从49个元素的包围序列选择n = 7个有效帧来测试所提出的技术。所选择的照片已被用于组成HDR图像,该HDR图像包含具有最小存在发光变形的场景的最大洞察力。

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