WiMi Hologram Cloud Inc. announced that deep learning is being applied to nonlinear holographic image restoration. This technology utilizes a deep neural network model, and by learning a large amount of hologram data, it can automatically learn the feature of nonlinear distortion and make accurate predictions during the restoration process. Deep learning-based nonlinear holographic image restoration has important application value in the field of holographic image processing, as it can better handle nonlinear distortion, improve the restoration effect, and provide a more accurate database for the subsequent analysis and application of holograms.