论文标题
与原始视频序列的联合降解和HDR
Joint denoising and HDR for RAW video sequences
论文作者
论文摘要
我们提出了一种基于斑块的方法，用于同时降解和融合一系列原始多曝光图像。时空标准用于沿序列选择类似的贴片，加权主成分分析允许denoise和融合多曝光数据。总体策略允许在多曝光集中恢复每个变性图像的情况下，将图像集并融合在一起，从而导致非常有效的过程。几个实验表明，所提出的方法允许使用实际原始数据获得最新的融合结果。
We propose a patch-based method for the simultaneous denoising and fusion of a sequence of RAW multi-exposed images. A spatio-temporal criterion is used to select similar patches along the sequence, and a weighted principal component analysis permits to both denoise and fuse the multi exposed data. The overall strategy permits to denoise and fuse the set of images without the need of recovering each denoised image in the multi-exposure set, leading to a very efficient procedure. Several experiments show that the proposed method permits to obtain state-of-the-art fusion results with real RAW data.
