1results about How to "Simplify the scale" patented technology

The present application belongs to the technical field of image processing, and in particular to a multi-scale attention weak light image enhancement method and system. The present application comprises the following steps: step 1, constructing a network model: constructing a multi-scale attention weak light image enhancement network model, which comprises a decomposition network, a reflection image restoration network, and an illumination image enhancement network; step 2, preparing a data set: using the LOL-v1 data set to divide the training set and the test set and to perform preprocessing; using the LOL-v2 data set to fine-tune the model; step 3, training the network model: inputting the LOL-v1 data into the network for training until the preset training number or the loss function reaches the standard step; step 4, fine-tuning the model: using the second weak light image data set to further train and fine-tune the network model; and step 5, saving the model: solidifying and saving the final model parameters to realize the conversion output of weak light images into high-quality images. The present application designs an efficient multi-scale attention enhancement network for improving the performance of image features. This method can significantly improve the quality and clarity of the image, making the illumination and reflection details more distinct.