论文标题
使用多曝光颜色滤清器阵列的深海快照HDR成像
Deep Snapshot HDR Imaging Using Multi-Exposure Color Filter Array
论文作者
论文摘要
在本文中，我们提出了一个深海快照高动态范围（HDR）成像框架，该框架可以有效地从使用多曝光颜色滤清器阵列（ME-CFA）捕获的原始数据中重建HDR图像，该数据由具有不同暴露水平的RGB过滤器的镶嵌模式组成。为了有效地学习HDR图像重建网络，我们介绍了亮度归一化的概念，同时通过考虑“按亮度标准化” HDR域中的相对局部对比来同时实现有效的损失计算和输入数据归一化。这个想法使得无论绝对亮度水平如何，都可以同样处理明亮和黑暗区域中的错误，从而显着提高了音调映射域中的视觉图像质量。使用两个公共HDR图像数据集的实验结果表明，我们的框架的表现优于其他快照方法，并产生具有较少视觉文物的高质量HDR图像。
In this paper, we propose a deep snapshot high dynamic range (HDR) imaging framework that can effectively reconstruct an HDR image from the RAW data captured using a multi-exposure color filter array (ME-CFA), which consists of a mosaic pattern of RGB filters with different exposure levels. To effectively learn the HDR image reconstruction network, we introduce the idea of luminance normalization that simultaneously enables effective loss computation and input data normalization by considering relative local contrasts in the "normalized-by-luminance" HDR domain. This idea makes it possible to equally handle the errors in both bright and dark areas regardless of absolute luminance levels, which significantly improves the visual image quality in a tone-mapped domain. Experimental results using two public HDR image datasets demonstrate that our framework outperforms other snapshot methods and produces high-quality HDR images with fewer visual artifacts.
