Samsung Electronics Co., Ltd.

Seoul National University

Byeongyong Ahn

Dasom Lee

Sungoh Kim

Sanghun Lee

Donghyun Kim

Jaewoo Park

Youngsu Moon

Hyunseung Lee

Taegyoung Ahn

Donghwan Seo

Changhoon Kim

Yoonsik Kim

Nam Ik Cho

Seongsin Kwak

Daeyoung Hyun

Seulki Jang

Jae Woong Soh

At least one processor included in an electronic device may execute a camera, detect at least one object based on image data obtained through the camera in a first light source environment, analyze color properties of the detected at least one object, determine a first effect based on the analyzed color properties of the object, apply a second light source effect to the at least one object, the second light source effect being different from the first light source, and apply the first effect to a background except the at least one object. Various other embodiments identified through the specification are possible.

Electronic device and method for generating image by applying effect to subject and background

An electronic device is provided. The electronic device includes a camera module, a first display, a second display, and at least one processor. The at least one processor may be configured to display a first screen and a second screen for displaying at least one function of a camera application on the first display facing in a first direction and the second display facing in a second direction opposite to the first direction, respectively, wherein at least one of the first screen or the second screen includes an image obtained through the camera module, identify a first input for selecting a first function of the camera application through the first screen, identify a second input related to a subject's gaze or gesture in a state in which the first function of the camera application is selected through the first screen, and display, on the second screen, in a state in which the first function of the camera application is selected through the first screen, an indication indicating that selection of the first function by the second input related to the subject's gaze or gesture is restricted.

Electronic device including multiple displays and method for operating the same

An electronic device and method are disclosed. The electronic device includes a first and second camera, display, memory and processor. The processor implements the method, including acquiring image data of an external environment via the first camera, detecting a plurality of objects included in the image data, identifying a first object corresponding to the detected gaze among the detected plurality of objects, configuring a first precision for spatial mapping of the identified first object and a second precision of at least one other object from among the detected plurality of objects, wherein the first precision is higher than the second precision, executing 3D spatial mapping on the image data using the first precision for the identified first object and the second precision for the at least one other object, and displaying a 3D space generated based on the image data and the spatial mapping.

Electronic device and method for spatial mapping using the same

An electronic apparatus is provided. The electronic apparatus includes a storage configured to store a compression rate network model configured to determine a compression rate applied to an image block from among a plurality of compression rates, and a plurality of compression noise removing network models configured to remove compression noise for each of the plurality of compression rates, and a processor configured to: obtain a compression rate of each of a plurality of image blocks included in a frame of a decoded moving picture based on the compression rate network model, obtain the compression rate of the frame based on the plurality of obtained compression rates, and remove compression noise of the frame based on a compression noise removing network model corresponding to the compression rate of the frame from among the plurality of compression noise removing network models. The compression rate network model can be obtained by learning image characteristics of a plurality of restored image blocks corresponding to each of the plurality of compression rates through a first artificial intelligence algorithm, and the plurality of restored image blocks can be generated by encoding a plurality of original image blocks, and decoding the encoded plurality of original image blocks, and the plurality of compression noise removing network models can be obtained by learning a relation between the plurality of original image blocks and the plurality of restored image blocks through a second artificial intelligence algorithm.

Electronic apparatus and control method thereof

Growing community of inventors

Suwon-si, South Korea

Byeongyong Ahn