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Robust Patch-Based HDR Reconstruction of Dynamic Scenes

机译:基于补丁的动态场景HDR重构

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High dynamic range (HDR) imaging from a set of sequential exposures is an easy way to capture high-quality images of static scenes, but suffers from artifacts for scenes with significant motion. In this paper, we propose a new approach to HDR reconstruction that draws information from all the exposures but is more robust to camera/ scene motion than previous techniques. Our algorithm is based on a novel patch-based energy-minimization formulation that integrates alignment and reconstruction in a joint optimization through an equation we call the HDR image synthesis equation. This allows us to produce an HDR result that is aligned to one of the exposures yet contains information from all of them. We present results that show considerable improvement over previous approaches.
机译:一组连续曝光的高动态范围(HDR)成像是捕获静态场景的高质量图像的一种简便方法,但是会遭受运动剧烈的场景的伪影。在本文中,我们提出了一种新的HDR重建方法,该方法可从所有曝光中提取信息,但比以前的技术对相机/场景运动更可靠。我们的算法基于一种新颖的基于补丁的能量最小化公式,该公式通过一个称为HDR图像合成方程的方程式,将对齐和重建集成在联合优化中。这使我们能够生成与其中一个曝光对齐但包含所有曝光信息的HDR结果。我们提出的结果表明,与以前的方法相比,已有很大的改进。

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