Method for training image processing model, and method for generating high dynamic range image

An electronic device comprising:

• a processor, a memory, and a computer program stored on the memory and executable on the processor, wherein
• the processor is configured to input a low dynamic range image into a first initial image processing model, so that a high dynamic range reconstruction processing is peformed on the low dynamic range image to generate a first high dynamic range image;
• the processor is further configured to input the low dynamic range image into a second initial image processing model to generate a first coefficient;
• the processor is further configured to generate a second high dynamic range image according to the first high dynamic range image and the first coefficient;
• the processor is further configured to generate a loss function according to data pairs of the second high dynamic range image and a real high dynamic range image;
• wherein the real high dynamic range image is a real high dynamic range image corresponding to the low dynamic range image;
• the processor is further configured to train the first initial image processing model and the second initial image processing model with the loss function, so that a trained first target image processing model and a trained second target image processing model are obtained;
• and
• the memory is configured to store data of the first high dynamic range image, the first coefficient, and data of the second high dynamic range image.