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Exposure fusion algorithm for scenes with an extremely high dynamic range

机译:动态范围极高的场景的曝光融合算法

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Nowadays, high dynamic range imaging techniques are often applied for outdoor applications that may encounter scenes with an extremely high dynamic range. In such scenes, a halo can be produced by gradient reversal, and color information is easily damaged. In this paper, we propose an exposure fusion algorithm that does not suffer from any artifacts in extremely high dynamic range scenes. Using the HSV color model, gradient reversal is suppressed in the Value component, and color information is preserved in the other components. Experimental results show that these two artifacts are effectively avoided, and all of the scene's details are preserved.
机译:如今,高动态范围成像技术通常用于户外应用,这些应用可能会遇到动态范围极高的场景。在这样的场景中,可以通过梯度反转产生光晕,并且容易损坏颜色信息。在本文中,我们提出了一种曝光融合算法,该算法在极高的动态范围场景中不会遭受任何伪影。使用HSV颜色模型,可以在“值”组件中抑制渐变反转,并在其他组件中保留颜色信息。实验结果表明,有效避免了这两个伪像,并且保留了场景的所有细节。

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