Noise Characterization of Weighting Schemes for Combination of Multiple Exposures

Noise Characterization of Weighting Schemes for Combination of Multiple Exposures
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多次曝光组合加权方案的噪声表征

DOI:
10.5244/c.20.115
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发表时间:
2006
期刊:
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)
影响因子:
--
通讯作者:
H. J. Andersen
H. J. Andersen
中科院分区:
--
文献类型:
--
作者:
K. Kirk;H. J. Andersen

文献摘要

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一种用低动态范围照相机捕获高强度动态范围场景的方法,包括用不同曝光设置拍摄一系列图像,并将这些图像组合成单个高动态范围图像。组合图像值是通过在每个像素的基础上对来自不同曝光图像的值进行加权平均而得到的。本文回顾了现有的加权方案,并考虑其噪声特性。此外,最小方差的解决方案,利用相机噪声模型。特别强调的是当相机是线性的情况下。给出了一种估计组合图像值不确定度的方法。实验结果得到了验证。
A method for capturing high intensity dynamic range scenes with a low dynamic range camera consists in taking a series of images with di erent exposure settings and combining these into a single high dynamic range image. The combined image values are found by weighted averaging of values from the di erently exposed images on a per-pixel basis. This paper reviews existing weighting schemes and considers their noise properties. Furthermore, a minimum-variance solution is introduced which exploits a camera noise model. Special emphasis is on the case when the camera is linear. A method is given for estimating the uncertainty of the combined image values. The results are validated experimentally.