Samsung Electronics Co., Ltd.

Pukyong National University

Younghoon Jeong

Donghyun Kim

Youngsu Moon

Seungho Park

Hyunseung Lee

Joseph Kim

Taegyoung Ahn

Jaemoon Lim

Jisu Lee

Chul Ju Lee

Taejun Park

Chun Zhao

Daeeun Kim

Hoang Nam Nguyen

Van Tu Vo

An electronic apparatus is provided. The electronic apparatus includes: a communication interface; a user interface; and a processor configured to control the electronic apparatus to: receive a content and metadata corresponding to the content from a server through the communication interface; obtain an input lag allowance time corresponding to the content based on any one or any combination of image information corresponding to the content, the metadata, or a pattern of a user command received through the user interface; identify at least one image processing method, among a plurality of image processing methods, based on the input lag allowance time; and perform image processing on the content based on the at least one image processing method.

Electronic apparatus and control method thereof

A display device for performing image processing by using a neural network including a plurality of layers, may obtain a plurality of pieces of model information respectively corresponding to pixels included in a first image based on object features respectively corresponding to the pixels; identify the plurality of pieces of model information respectively corresponding to the plurality of layers and the pixels input to the neural network based on information about a time point at which each of the pixels is processed in the neural network; update parameters of the plurality of layers, based on the plurality of pieces of model information; and obtain a second image by processing the first image via the plurality of layers to which the updated parameters are applied; and display the second image.

Display device and operating method of the same

An electronic apparatus is disclosed. The electronic apparatus includes a memory configured to store a plurality of neural network models, and a processor connected to the memory and control the electronic apparatus in which the processor is configured to obtain a weight map based on an object area included in an input image, and obtain a plurality of images by inputting the input image to each of the plurality of neural network models, and obtain an output image by weighting the plurality of images based on the weight map, and each of the plurality of neural network models is a model trained to upscale an image.

Electronic apparatus and controlling method thereof

Disclosed is an electronic apparatus. The electronic apparatus includes a processor configured to obtain first upscaling information of an input image using an artificial intelligence (AI) model that is trained to obtain upscaling information of an image. The processor is also configured to downscale the input image based on the obtained first upscaling information, and obtain an output image by upscaling the downscaled image based on an output resolution.

Disclosed is an electronic device. The electronic device obtains a first histogram regarding a difference in gradation between adjacent pixels of an input image based on the first maximum output brightness, obtains a second histogram regarding a difference in gradation between the adjacent pixels of the input image based on the second maximum output brightness, obtains a third histogram regarding a difference in brightness between the adjacent pixels of the input image based on the first HVS recognition information, obtains a fourth histogram regarding a difference in brightness between the adjacent pixels of the input image based on the second HVS recognition information, and obtains a brightness value regarding the input image corresponding to the second maximum output brightness based on a difference between a first value obtained based on information on the first and third histograms and a second value obtained based on the second and fourth histograms.

Electronic device and control method thereof

A display device is disclosed. The display device comprises: a storage configured to store output brightness information for each gradation according to brightness information of an image; and a processor configured to acquire target brightness corresponding to brightness information of an input image on the basis of the information stored in the storage, acquire a target light amount on the basis of a light amount of the input image, acquire a plurality of correction effects corresponding to a plurality of correction images by applying a plurality of gradation adjustment curves to the input image, acquire a gradation adjustment curve corresponding to the maximum correction effect among the plurality of correction effects, and adjust and output a gradation for each pixel of the input image on the basis of the acquired gradation adjustment curve.

Growing community of inventors

Suwon-si, South Korea

Younghoon Jeong