Learning to Kindle the Starlight. (arXiv:2211.09206v1 [cs.CV])

Capturing highly appreciated star field images is extremely challenging due
to light pollution, the requirements of specialized hardware, and the high
level of photographic skills needed. Deep learning-based techniques have
achieved remarkable results in low-light image enhancement (LLIE) but have not
been widely applied to star field image enhancement due to the lack of training
data. To address this problem, we construct the first Star Field Image
Enhancement Benchmark (SFIEB) that contains 355 real-shot and 854
semi-synthetic star field images, …

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