Low-light microscopic image enhancement method and system based on scanning light field

A low-light microscopic image enhancement method based on a scanning light field, comprising specific steps of:

• obtaining data to be enhanced, wherein the data to be enhanced is low-light microscopic images of multiple angles of any sample;
• inputting the low-light microscopic images of multiple angles of the any sample into a depth reconstruction model to obtain a depth map of the any sample;
• pairing the depth map of the any sample with the low-light microscopic images of multiple angles of the any sample to obtain multiple depth map-low-light microscopic image pairs;
• and
• inputting the multiple depth map-low-light microscopic image pairs into an image enhancement model to obtain high-signal-to-noise-ratio images of multiple angles of the any sample, wherein a construction step of the depth reconstruction model comprises:
• constructing an initial depth reconstruction model based on a convolutional neural network;
• and
• performing iterative training on the initial depth reconstruction model based on the low-light microscopic images of multiple angles and the corresponding depth maps to obtain the depth reconstruction model;
• wherein a construction step of the image enhancement model comprises:
• constructing an initial image enhancement model based on a convolutional neural network;
• and
• performing iterative training on the initial image enhancement model based on the depth map-low-light microscopic image pairs and the high-signal-to-noise-ratio images of multiple angles to obtain the image enhancement model.