The invention discloses a
wavefront coding microscopic
system depth-of-field
expansion joint optimization method based on
deep learning, and belongs to the field of microscopic
medical imaging, and the method comprises the steps: collecting a clear focusing image for neural
network model training and testing; a defocusing phase is calculated according to corresponding optical
system parameters, and defocusing blurring
simulation is carried out on the clear focusing image; correcting a
mask matrix by utilizing learnable aberration, and updating data in a training process to correct out-of-focus aberration; calculating a
joint point spread function through the out-of-focus correction
mask, and generating an out-of-focus correction image; and training a
generative model by using a pair of the defocus correction image and the clear focusing image and a
point spread function quality and
image quality evaluation
loss function, and recovering the
optical image with high quality. According to the method, the free
surface type of the
mask is optimized, an optical physical mechanism is introduced to be fused with an image similarity
evaluation function to form a model gradient
return loss function, the aberration correction effectiveness of
wavefront coding is ensured, and the
imaging quality and robustness are improved.