WiMi Hologram Cloud Inc. has developed a novel solution, deep learning-based holographic reconstruction network, that will revolutionize the way holographic images are reconstructed. This technology enables noise-free image reconstruction without a priori knowledge through an end-to-end deep learning framework that can handle phase imaging as well as depth map generation. The network employs a medium-depth deep residual network structure, which realizes holographic image input, feature extraction and reconstruction through three functional blocks. At the heart of this new holographic reconstruction network of WiMi lies a deep learning approach that leverages the fitting and feature extraction capabilities of deep neural networks.
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