Samsung Electronics Co., Ltd.

Sogang University Research Business Development Foundation

Hyungjun Lim

Youngsu Moon

Taegyoung Ahn

Seung Joon Lee

Siyeong Lee

Sung In Cho

Jaeyoung Roh

Hejung Yang

Yeaseul Song

Jubum Han

Suk-Ju Kang

Hojun Jin

Suk Ju Kang

An electronic apparatus is disclosed. The electronic apparatus includes: a memory storing an input image, and a processor configured to: apply a filter to the input image to identify the input image as a plurality of areas, apply a first low-frequency filter to a first area among the plurality of areas, and apply a second low-frequency filter to a second area among the plurality of areas to perform downscaling, wherein a cut-off frequency of the second low-frequency filter is configured to be higher than a cut-off frequency of the first low-frequency filter.

Electronic apparatus and image processing method thereof

Disclosed is an image processing apparatus and a method of operating the same. The image processing apparatus includes: a memory storing information on at least one random patch; and at least one processor configured to: obtain correlations between a pixel block included in an input image and each of a plurality of random patches obtained from the information on the at least one random patch, obtain weights respectively for the plurality of random patches on a basis of the obtained correlations and apply the weights respectively to the plurality of random patches, and obtain an output image by applying, to the pixel block, the plurality of random patches to which the weights are respectively applied.

Applying random patches to pixel block of an image utilizing different weights

An electronic apparatus is provided. The electronic apparatus may include a microphone; a memory configured to store a wakeup word; and a processor configured to: identify, based on context information of the electronic apparatus, an occurrence of a pre-determined event; change, based on the occurrence of the pre-determined event, a first threshold value for recognizing the wakeup word; obtain, based on a first user voice input received via the microphone, a similarity value between first text information corresponding to the first user voice input and the wakeup word; and perform, based on the similarity value being greater than or equal to the first threshold value, a voice recognition function on second text information corresponding to a second user voice input received via the microphone after the first user voice input.

Electronic apparatus and controlling method thereof

An image processing apparatus includes a memory configured to store first region detection information of a first frame; and a processor. The processor is configured to: identify a first pixel region corresponding to the first region detection information from a second frame, perform region growing processing on the first pixel region based on an adjacent pixel region that is adjacent to the first pixel region, obtain second region detection information of the second frame, based on the region growing processing, and perform image processing on the second frame based on the second region detection information.

Apparatus and method for image region detection of object based on seed regions and region growing

An electronic apparatus is provided. The electronic apparatus includes a display and a processor configured to obtain a low-frequency variation amount based on low-frequency information corresponding to a first frame and low-frequency information corresponding to a second frame, obtain a high-frequency variation amount based on high-frequency information corresponding to the first frame and high-frequency information corresponding to the second frame, obtain a weight based on a difference between the low-frequency variation amount and the high-frequency variation amount, apply the weight to a high-frequency frame corresponding to the second frame, obtain an output frame corresponding to the second frame, based on the second frame and a high-frequency frame to which the weight is applied, and control the display to display the obtained output frame.

Electronic apparatus and control method thereof

Disclosed is an image processing device. The image processing device includes an input unit, and a processor which retargets an image frame input through the input unit and acquires an output image frame, wherein the processor identifies an area, in which pixel values are to be padded, on the basis of the input image frame and information about the output image frame, identifies a first pixel block on the basis of a target pixel area included in the identified area, identifies a second pixel block on the basis of pixel values included in the first pixel block, and pads the target pixel area on the basis of pixel values included in the second pixel block, so as to able to acquire the output image frame.

Image processing device and image processing method of same

Display apparatus and image processing method for applying random patches to pixel block

An image processing apparatus includes a memory configured to store first region detection information corresponding to at least one object of a first frame, and a processor configured to perform region growing processing based on a seed region identified from a second frame and the first region detection information, obtain second region detection information corresponding to at least one object of the second frame, and perform image processing on the second frame based on the second region detection information.

An image processing apparatus filters an image and obtains a signal in a threshold range as a shadow. The image processing apparatus obtains boundary information by applying boundary detection filters associated with different directions. The shadow is applied, based on the boundary information, to a portion of the input image to provide an output image with improved sharpness.

Image processing apparatus and image processing method thereof

An image processing apparatus is provided. The image processing apparatus includes a memory configured to store at least one instruction; and a processor configured to read the at least one instruction and configured to, according to the at least one instruction: apply a learning network model to an input image frame and acquire information on an area of interest; and acquire an output image frame by retargeting the input image frame based on the acquired information on the area of interest. The learning network model is a model that is trained to acquire the information on the area of interest in the input image frame.

An image processing apparatus and method are provided. The image processing apparatus includes: a memory configured to store at least one instruction, and a processor electrically connected to the memory, wherein the processor, by executing the at least one instruction, is configured to: apply an input image to a training network model; and apply, to a pixel block included in the input image, a texture patch corresponding to the pixel block to obtain an output image, wherein the training network model stores a plurality of texture patches corresponding to a plurality of classes classified based on a characteristic of an image, and is configured to train at least one texture patch, among the plurality of texture patches, based on the input image.

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Suwon-si, South Korea

Hyungjun Lim