利用相机阵列扩展动态范围和景深

M. Z. Alam, B. Gunturk
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引用次数: 0

摘要

计算成像旨在通过多次捕获或修改相机的传感器和光学元件来提取更丰富、更有意义的信息,从而扩展传统成像系统的功能。本文提出了一种联合聚焦叠加和高动态范围(HDR)成像方法,以扩展典型相机有限的景深和动态范围。该方法从不同曝光和景深的相机阵列中获取一组输入图像,并在曝光分集下进行焦点叠加。实验结果表明,最终的焦点堆叠HDR图像的动态范围和景深有了明显改善。此外,该方法还能有效地处理融合过程中的重影伪影。
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Dynamic range and depth of field extension using camera array
Computational imaging aims to extend the capabilities of conventional imaging systems by extracting richer and more meaningful information through multiple captures or by modifying the camera’s sensors and optics. In this paper, a joint focus stacking and high dynamic range (HDR) imaging method is proposed to extend the limited depth of field and dynamic range of a typical camera. The proposed method acquires a set of input images from a camera array with varying exposure and depth of field, and performs focus stacking under exposure diversity. Experimental results show significant improvement in the dynamic range and depth of field of the final focus-stacked HDR image. Additionally, the proposed method effectively handles the ghosting artifacts during the fusion process.
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