US Patent Application 18141142. 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 18141142 titled 'IMAGE PROCESSING APPARATUS AND OPERATION METHOD THEREOF
Simplified Explanation
The abstract describes an image processing apparatus that uses neural networks to perform image processing.
- The apparatus includes a memory and a processor.
- The processor executes instructions stored in the memory.
- The apparatus obtains classification information and first feature information of a first image.
- It generates a first feature image for the first image by performing first image processing on the classification information and first feature information.
- It obtains second feature information by performing second image processing on the classification information and first feature information.
- It obtains fourth feature information by performing third image processing on third feature information extracted during the first image processing.
- It generates a second feature image for the first image based on the second feature information and fourth feature information.
- It generates a second image based on the first feature image and second feature image.
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 to obtain classification information of a first image and first feature information of the first image, generate a first feature image for the first image by performing first image processing on the classification information and the first feature information, obtain second feature information by performing second image processing on the classification information and the first feature information, obtain fourth feature information by performing third image processing on third feature information extracted during the first image processing, generate a second feature image for the first image, based on the second feature information and the fourth feature information, and generate a second image based on the first feature image and the second feature image.
