一种实验重建相机响应函数的鲁棒方法

A. Bevilacqua, A. Gherardi, L. Carozza
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引用次数: 8

摘要

文献中已知有许多重建相机响应函数(RF)的方法,无论是使用校准图还是在不同曝光下拍摄的任意场景图像。这适用于有足够曝光步骤的相机来捕捉场景的整个动态范围。然而,对于入门级或低质量的相机,在快门时间变化范围内的分辨率可能只产生一组减少的样本。在这里,我们对一种众所周知的方法提出了额外的约束,即使在只有一组减少的暴露可用的情况下,也可以重建射频。使用计算机视觉应用中常用的低质量和专业相机进行的大量实验表明,在少量样本的情况下,我们的方法在重建RF中取得了改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A robust approach to reconstruct experimentally the camera response function
Many methods are known in literature to reconstruct the camera response function (RF), whether they use calibration chart or images of arbitrary scenes taken at different exposures. This works in case to have at one's disposal a camera with enough exposure steps to capture the whole dynamic range of the scene, representatively. However, in case of entry-level or low quality cameras, the resolution in the shutter time range of variation could yield just a reduced set of samples. Here we propose additional constraints to a well known method to reconstruct a RF even in the case that just a reduced set of exposures is available. Extensive experiments carried out using both a low quality and a professional camera commonly used in computer vision applications show the improvement achieved by our method in the reconstructed RF in case of few samples.
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