The application provides a
raw data modeling
noise combined with a real
paired data training method, which is an improvement of the collected
paired data, and details and colors of an image are improved by adding a part of real
paired data; the method comprises the following steps: S1, a real
data set collection process; and S2, a process of synthesizing a false
data set. In order to obtain a model with good denoising effect on different individual cameras and suitable for various camera devices, first, same models and different individual cameras are prepared, then a certain amount of real data is collected by using the cameras under different light conditions and scenes, the real data is processed into a paired data
training set, then the data is mixed for training by combining physical modeling, and finally the model is generalized to other cameras. The paired data of the same model and different cameras are used to supplement the
noise of the part not correctly modeled by the physical modeling, the
noise problem of normal light and very
short exposure time is improved, and the model can obtain good denoising effect in the same model and different cameras.