The invention discloses an
image processing method and device and a storage medium. The method comprises the steps of obtaining a to-be-simulated 3D
convolution model and training data; decomposing the 3D
convolution model into cascading of a 3D space
convolution model and a 3D time convolution model to obtain a pseudo 3D cascading convolution model; training a pseudo 3D
cascade convolution modelby using the training data, and obtaining parameters of a 3D spatial convolution model and a 3D time convolution model; converting the 3D space convolution model and the 3D time convolution model intoa 2D space convolution model and a 2D time convolution model; setting a feature rearrangement rule for the 2D spatial convolution model and the 2D time convolution model; mapping
model parameters ofthe 3D spatial convolution model and the 3D time convolution model into parameters of a 2D spatial convolution model and a 2D time convolution model to obtain a 2D cascaded convolution model; and performing convolution operation on the image by using the 2D spatial convolution model and the 2D time convolution model. By means of the mode,
image processing conducted through 3D convolution operationcan be achieved through the 2D convolution model.