减少夜间摄影中的光污染
Light Pollution Reduction in Nighttime Photography
摘要：
夜间摄影师经常受到不需要的人造光的光污染的困扰。人工光源被大气中的气溶胶散射后，会淹没星光，降低对比度和动态范围，造成雾霾，从而降低夜间图像的质量。在本文中，我们开发了一种基于物理的光污染减少（LPR）算法，可以大大减轻上述感知质量的下降，并恢复原始状态的夜空。该算法成功的关键是一种反演方法来估计的空间辐射分布和光谱特征的地面人造光。进行了大量的实验，以评估LPR算法的有效性和局限性。
英文摘要：
Nighttime photographers are often troubled by light pollution of unwanted artificial lights. Artificial lights, after scattered by aerosols in the atmosphere, can inundate the starlight and degrade the quality of nighttime images, by reducing contrast and dynamic range and causing hazes. In this paper we develop a physically-based light pollution reduction (LPR) algorithm that can substantially alleviate the aforementioned degradations of perceptual quality and restore the pristine state of night sky. The key to the success of the proposed LPR algorithm is an inverse method to estimate the spatial radiance distribution and spectral signature of ground artificial lights. Extensive experiments are carried out to evaluate the efficacy and limitations of the LPR algorithm.
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