Make high dynamic range image from low dynamic range images with fewer artifacts
Make high dynamic range image from low dynamic range images with fewer artifacts
Wavelet-Based Network For High Dynamic Range Imaging
arXiv paper abstract https://arxiv.org/abs/2108.01434v1
arXiv PDF paper https://arxiv.org/pdf/2108.01434v1.pdf
High dynamic range (HDR) imaging from multiple low dynamic range (LDR) images has been suffering from ghosting artifacts caused by scene and objects motion.
... propose a novel frequency-guided end-to-end deep neural network (FHDRNet) to conduct HDR fusion in the frequency domain, and Discrete Wavelet Transform (DWT) is used to decompose inputs into different frequency bands.
The low-frequency signals are used to avoid specific ghosting artifacts, while the high-frequency signals are used for preserving details.
... The frequency-guided upsampling module reconstructs details from multiple frequency-specific components with rich details.
... proposed FHDRNet achieves state-of-the-art performance.
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