Modern high dynamic range (HDR) imaging pipelines align and fuse multiple low dynamic range (LDR) images captured at different exposure times. While these methods work well in static scenes, dynamic scenes remain a challenge since the LDR images still suffer from saturation and noise. In such scenarios, event cameras would be a valid complement, thanks to their higher temporal resolution and dynamic range. In this paper, we propose the first multi-bracket HDR pipeline combining a standard camera with an event camera. Our results show better overall robustness when using events, with improvements in PSNR by up to 5dB on synthetic data and up to 0.7dB on real-world data. We also introduce a new dataset containing bracketed LDR images with aligned events and HDR ground truth.
翻译:虽然这些方法在静态场景中效果良好,但动态场景仍是一个挑战,因为LDR图像仍然受到饱和和和噪音的影响。在这种情景中,事件摄像机将因其较高的时间分辨率和动态范围而成为有效的补充。在本文件中,我们提议了第一个多盘式《人类发展报告》管道,将标准相机与事件相机结合起来。我们的结果显示,在使用事件时,整体上更加稳健,合成数据PSNR改进了最多5dB,真实世界数据改进了最多0.7dB。我们还推出了一个新的数据集,内含带相匹配事件和《人类发展报告》地面真相的LDR图像的括号。