Patent ID: 11948278
Assignee: NATIONAL CHENGCHI UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 4:
5. An image processing apparatus, comprising:
a storage circuit;
a processor, coupled to the storage circuit and configured to:
receive an original image;
perform denoising filtering to the original image by a filter to obtain a preliminary processing image; and
input the preliminary processing image to a multi-stage convolutional network model to generate an optimization image through the multi-stage convolutional network model, wherein the multi-stage convolutional network model comprises a plurality of convolutional network sub-models, and the convolutional network sub-models respectively correspond to different network architectures,
wherein the convolutional network sub-models comprise a first-stage convolutional network sub-model, a second-stage convolutional network sub-model and a third-stage convolutional network sub-model, and the processor is configured to:
input the preliminary processing image to the first-stage convolutional network sub-model to generate a first network generated image by the first-stage convolutional network sub-model;
input the first network generated image to the second-stage convolutional network sub-model to generate a second network generated image by the second-stage convolutional network sub-model; and
input the second network generated image to the third-stage convolutional network sub-model to generate the optimization image by the third-stage convolutional network sub-model,
wherein the convolutional network sub-models are generated through synchronous training based on a multi-level loss function, and the multi-level loss function comprises a weighted sum of a plurality of loss functions.