US Patent Application 18135992. IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF simplified abstract
Contents
IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF
Organization Name
Inventor(s)
Youngchan Song of Suwon-si (KR)
IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18135992 titled 'IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF
Simplified Explanation
The abstract describes an image processing apparatus that uses neural networks to enhance the quality of images. Here are the key points:
- The apparatus uses one or more neural networks to process images.
- It obtains first feature information of a first image.
- It performs first image processing on the first feature information to generate an intermediate output image for the first image.
- It generates an attention map based on the first image and the intermediate output image.
- It performs second image processing on the first feature information to obtain second feature information.
- It performs third image processing on third feature information extracted during the first image processing to obtain fourth feature information.
- It generates a second image with higher quality than the first image using the attention map, second feature information, and fourth feature information.
Original Abstract Submitted
An image processing apparatus for performing an image by using one or more neural networks may include a memory storing one or more instructions and at least one processor configured to execute the one or more instructions stored in the memory to obtain first feature information of a first image, generate an intermediate output image for the first image by performing first image processing on the first feature information, generate an attention map, based on the first image and the intermediate output image, obtain second feature information by performing second image processing on the first feature information, obtain fourth feature information by performing third image processing on third feature information extracted during the first image processing, and generate a second image having a higher quality than the first image, based on the attention map, the second feature information, and the fourth feature information.
