论文标题
与饱和区域的多曝光图像的稳健对齐
Robust Alignment of Multi-Exposed Images with Saturated Regions
论文作者
论文摘要
由于较大的照明变化，尤其是在饱和区域的情况下，将多曝光图像对齐是具有挑战性的。在本文中，提出了一种新型的图像比对算法来应对具有饱和区域的多曝光图像。具体而言，通过使用强度映射函数（IMF）来考虑饱和像素的多密度映射函数（IMF）首先进行归一化图像。然后，使用局部二进制图案（LBP）对归一化图像进行编码。最后，通过使用可区分的锤击距离来制定优化问题来对齐编码的图像。实验结果表明，根据对齐度的准确性和对暴露值的鲁棒性，所提出的算法优于多曝光图像的最先进方法。
It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm is proposed to cope with the multi-exposed images with saturated regions. Specifically, the multi-exposed images are first normalized by using intensity mapping functions (IMFs) in consideration of saturated pixels. Then, the normalized images are coded by using the local binary pattern (LBP). Finally, the coded images are aligned by formulating an optimization problem by using a differentiable Hamming distance. Experimental results show that the proposed algorithm outperforms state-of-the-art alignment methods for multi-exposed images in terms of alignment accuracy and robustness to exposure values.
