Image processing method, smart device, and computer readable storage medium

An image processing method, performed by an electronic device, the method comprising:

• obtaining a moiré pattern training data set, the moiré pattern training data set including matching image pairs, the matching image pair including a training image and a supervision image, wherein the training image has moiré patterns, and the supervision image does not have the moiré patterns;
• training an initial model according to each matching image pair in the moiré pattern training data set to obtain an image processing model, wherein the initial model includes a multi-band module to be trained, a prediction module to be trained, and a super-resolution module to be trained, and wherein training the initial model comprises:
• processing the training image in the matching image pair of the moiré pattern training data set as an input of the initial model by using the initial model, to obtain a first result outputted by the multi-band module, a second result outputted by the prediction module, and a third result outputted by the super-resolution module, the first result including feature maps of N spatial frequency bands corresponding to an N-layer Laplacian pyramid of the training image, the second result including a second result feature map corresponding to the training image, and the third result including a target image corresponding to the training image,
• performing N-layer Laplacian pyramid processing on the supervision image in the matching image pair of the moiré pattern training data set to obtain feature maps of N spatial frequency bands corresponding to the supervision image,
• obtaining N basic loss function values of the feature maps of the N spatial frequency bands corresponding to the supervision image and the feature maps of the N spatial frequency bands in the first result, obtaining a first loss function value between an image obtained after resolution processing is performed on the supervision image and the second result, and obtaining a second loss function value between the supervision image and the third result, and
• adjusting model parameters of the initial model according to the N basic loss function values, the first loss function value, and the second loss function value, to obtain the image processing model;
• obtaining an original image;
• and
• running the image processing model to perform moiré pattern removal processing on the original image to obtain a target image,
• wherein the image processing model includes a multi-band module, the multi-band module being configured to process the original image to obtain an N-layer Laplacian pyramid of the original image, and obtain a first processing result feature map based on feature maps corresponding to N spatial frequency bands of the N-layer Laplacian pyramid, the target image being obtained according to the first processing result feature map, and N being a positive integer greater than or equal to 2.