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Efficient Computer-Generated Holography Based on Mixed Linear Convolutional Neural Networks
Imaging based on computer-generated holography using traditional methods has the problems of poor quality and long calculation cycles. However, recently, the development of deep learning has provided new ideas for this problem. Here, an efficient computer-generated holography (ECGH) method is proposed for computational holographic imaging. This method can be used for computational holographic imaging based on mixed linear convolutional neural networks (MLCNN). By introducing fully connecteddoi:10.3390/app12094177 fatcat:i2ymmtjz7raojhtiaa5n3jo6uy