Samsung Electronics Co., Ltd.

Pilkyu Park

Youngo Park

Jongseok Lee

Yumi Sohn

Myungjin Eom

Kwangpyo Choi

Jaehwan Kim

Chaeeun Lee

Kyungah Kim

Tejas Nair

Kiljong Kim

Junghye Min

An electronic apparatus includes: a display; and a processor configured to: obtain a first image, identify an application used to obtain the first image, select neural network setting information corresponding to the identified application from among a plurality of pieces of neural network setting information, obtain a second image by artificial intelligence (AI)-upscaling the first image by using an upscaling neural network to which the selected neural network setting information is applied, and output the obtained second image via the display.

Electronic apparatus and method for reproducing image based on artificial intelligence according to application

Methods and apparatuses for image encoding and image decoding are provided. The image decoding method includes: obtaining deep neural network (DNN) update permission information indicating whether one or more pieces of DNN setting information are updated; based on the DNN update permission information indicating that the one or more pieces of the DNN setting information are updated, obtaining DNN update information necessary for determining one or more pieces of the DNN setting information that are updated; determining the one or more pieces of the updated DNN setting information according to the DNN update information; and obtaining a third image by performing artificial intelligence (AI) up-scaling on a second image according to the one or more pieces of the updated DNN setting information.

Image encoding method and apparatus and image decoding method and apparatus using deep neural networks

A display apparatus and a controlling method thereof are disclosed. The display apparatus includes: a memory storing one or more instructions; and a processor configured to execute the stored one or more instructions to: obtain encoded data of a first digital image and artificial intelligence (AI) meta-information indicating a specification of a deep neural network (DNN), obtain a second digital image corresponding to the first digital image by decoding the encoded data, obtain a light signal converted from the second digital image according to a previously determined electro-optical transfer function (EOTF), and obtain a display signal by processing the light signal by using an opto-optical transfer function (OOTF) and a high dynamic range (HDR) DNN set according to the AI meta-information.

Image providing apparatus and image providing method thereof, and display apparatus and display method thereof

Provided is a computer-recordable recording medium having stored thereon a video file including artificial intelligence (AI) encoding data, wherein the AI encoding data includes: image data including encoding information of a low resolution image generated by AI down-scaling a high resolution image; and AI data about AI up-scaling of the low resolution image reconstructed according to the image data, wherein the AI data includes: AI target data indicating whether AI up-scaling is to be applied to at least one frame; and AI supplementary data about up-scaling deep neural network (DNN) information used for AI up-scaling of the at least one frame from among a plurality of pieces of pre-set default DNN configuration information, when AI up-scaling is applied to the at least one frame.

Methods and apparatuses for performing encoding and decoding on image

Image encoding method and apparatus and image decoding method and apparatus

Image encoding and decoding methods and apparatuses using artificial intelligence

Provided is a method of encoding an image, the method including: obtaining a plurality of patches from the image; obtaining a plurality of transform coefficient groups respectively corresponding to the plurality of patches; inputting, to a machine learning model, input values corresponding to transform coefficients included in each of the plurality of transform coefficient groups; quantizing transform coefficients corresponding to the image by using a quantization table output from the machine learning model; and generating a bitstream including data generated as a result of the quantizing and information about the quantization table.

Method and apparatus for encoding image by using quantization table adaptive to image

Growing community of inventors

Suwon-si, South Korea

Pilkyu Park