网络模型通过使用图像融合算法，更好地模拟了人眼处理立体图像的过程，减少

Network model by using an image fusion algorithm, better simulates during human eye stereoscopic image processing, the amount of data; learned by using the migration, the parameter adjustment reduces the tedious process, greatly reducing the training time

The network model better simulates the process of processing stereoscopic images by using the image fusion algorithm, which reduces the amount of data, and reduces the tedious process of tuning by using migration learning, which greatly shortens the training time.

Through the use of image fusion algorithm, the network model can better simulate the process of human eye processing stereo image and reduce the amount of data; through the use of migration learning, it can reduce the tedious process of parameter adjustment and greatly shorten the training time<br>