Invention Application
- Patent Title: METHODS AND APPARATUSES FOR PERFORMING ARTIFICIAL INTELLIGENCE ENCODING AND ARTIFICIAL INTELLIGENCE DECODING ON IMAGE
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Application No.: US16793605Application Date: 2020-02-18
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Publication No.: US20200184685A1Publication Date: 2020-06-11
- Inventor: Jaehwan KIM , Jongseok LEE , Sunyoung JEON , Kwangpyo CHOI , Minseok CHOI , Quockhanh DINH , Youngo PARK
- Applicant: SAMSUNG ELECTRONICS CO., LTD.
- Applicant Address: KR Suwon-si
- Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee: SAMSUNG ELECTRONICS CO., LTD.
- Current Assignee Address: KR Suwon-si
- Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@5791907 com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@17a4e681 com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@10ede85d
- Main IPC: G06T9/00
- IPC: G06T9/00 ; G06T3/40

Abstract:
Provided is an artificial intelligence (AI) decoding apparatus includes: a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory, the processor is configured to: obtain AI data related to AI down-scaling an original image to a first image; obtain image data corresponding to an encoding result on the first image; obtain a second image corresponding to the first image by performing a decoding on the image data; obtain deep neural network (DNN) setting information among a plurality of DNN setting information from the AI data; and obtain, by an up-scaling DNN, a third image by performing the AI up-scaling on the second image, the up-scaling DNN being configured with the obtained DNN setting information, wherein the plurality of DNN setting information comprises a parameter used in the up-scaling DNN, the parameter being obtained through joint training of the up-scaling DNN and a down-scaling DNN, and wherein the down-scaling DNN is used to obtain the first image from the original image.
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