Abstract: Disclosed is a wearable device including an outer housing including a first surface facing a first direction, a second surface facing a second direction opposite to the first direction, and a side surface surrounding a space between the first surface and the second surface, wherein a metal frame is formed on at least a portion of the side surface, a display having at least a portion that is exposed through the first surface of the outer housing, a printed circuit board (PCB), a communication circuit, and a ground area, wherein the metal frame is electrically connected to the communication circuit at a first point and a second point of the metal frame, and to the ground area at a third point having a different electrical length with respect to the first point and the second point, and wherein the communication circuit is configured to transmit and/or receive a signal in a first frequency band by a first electrical path formed between the first point and the third point, and a signal in a second frequency band

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: A method for generating a super resolution image may comprise up-scaling an input low resolution image; determining a directivity for each patch included in the up-scaled image; selecting an orientation-specified neural network or an orientation-non-specified neural network according to the directivity of the patch; applying the selected neural network to the patch; and obtaining a super resolution image by combining one or more patches output from the orientation-specified neural network and the orientation-non-specified neural network.

Abstract: A display apparatus is provided. The display apparatus includes an input interface, a first storage, a display, and a processor. Pixel values corresponding to a predetermined number of lines in an image input through the input interface are stored in the first storage. The processor acquires a first patch of a predetermined size by sampling a number of pixel values located in an outer region of a matrix centering about a specific pixel value from among the pixel values stored in the first storage, acquires a high-frequency component for the specific pixel value based on the acquired first patch, and processes the input image based on the high-frequency component. The display displays the processed image.

Abstract: An electronic device is disclosed. The electronic device identifies a user on the basis of: a biological signal input unit for receiving the input of a user's biological signal detected through an electrode; a voice input unit for receiving the input of a voice signal; a biological signal inputted through the biological signal input unit; and a voice signal inputted through a microphone.

Abstract: A method for removing compressed Poisson noises in an image, based on deep neural networks, may comprise generating a plurality of block-aggregation images by performing block transform on low-frequency components of an input image; obtaining a plurality of restored block-aggregation images by inputting the plurality of block-aggregation images into a first deep neural network; generating a low-band output image from which noises for the low-frequency components are removed by performing inverse block transform on the plurality of restored block-aggregation images; and generating an output image from which compressed Poisson noises are removed by adding the low-band output image to a high-band output image from which noises for high-frequency components of the input image are removed.

Abstract: An image processing apparatus includes: a signal receiver configured to receive an input image; an image processor configured to process the input image and generate an output image; a storage configured to store a first patch corresponding to a first pixel of the input image; and a controller configured to control the image processor to generate the output image by applying the first patch stored in the storage to the first pixel.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: An electronic device is disclosed. The electronic device comprises: a biological signal input unit for receiving the input of a biological signal detected through an electrode; and a processor which determines, based on a usage context of the electronic device, a biological signal to be inputted, sets up, according to the determined biological signal, the state of a channel corresponding to the electrode, and determines a biological change by using the biological signal inputted according to the set channel state.

Abstract: A display apparatus is provided. The display apparatus includes an input interface, a first storage, a display, and a processor. Pixel values corresponding to a predetermined number of lines in an image input through the input interface are stored in the first storage. The processor acquires a first patch of a predetermined size by sampling a number of pixel values located in an outer region of a matrix centering about a specific pixel value from among the pixel values stored in the first storage, acquires a high-frequency component for the specific pixel value based on the acquired first patch, and processes the input image based on the high-frequency component. The display displays the processed image.

Abstract: A display apparatus is provided. The display apparatus includes an input interface, a first storage, a display, and a processor. Pixel values corresponding to a predetermined number of lines in an image input through the input interface are stored in the first storage,. The processor acquires a first patch of a predetermined size by sampling a number of pixel values located in an outer region of a matrix centering about a specific pixel value from among the pixel values stored in the first storage, acquires a high-frequency component for the specific pixel value based on the acquired first patch, and processes the input image based on the high-frequency component. The display displays the processed image.

Abstract: A method for generating a super resolution image may comprise up-scaling an input low resolution image; determining a directivity for each patch included in the up-scaled image; selecting an orientation-specified neural network or an orientation-non-specified neural network according to the directivity of the patch; applying the selected neural network to the patch; and obtaining a super resolution image by combining one or more patches output from the orientation-specified neural network and the orientation-non-specified neural network.

Abstract: A method for removing compressed Poisson noises in an image, based on deep neural networks, may comprise generating a plurality of block-aggregation images by performing block transform on low-frequency components of an input image; obtaining a plurality of restored block-aggregation images by inputting the plurality of block-aggregation images into a first deep neural network; generating a low-band output image from which noises for the low-frequency components are removed by performing inverse block transform on the plurality of restored block-aggregation images; and generating an output image from which compressed Poisson noises are removed by adding the low-band output image to a high-band output image from which noises for high-frequency components of the input image are removed.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: Disclosed is a display apparatus including: a signal receiver configured to receive an image signal; a display configured to display an image; a processor configured to: calculate a change degree and a change direction of pixel value differences between at least one first pixel and two or more second pixels of an image, and change a pixel value of the first pixel based on the pixel value difference which is relatively small among the pixel value differences obtained by the calculated change degree and the calculated change direction. According to this, it is possible to enhance the image details without generating or and increasing of the noises.

Abstract: An electronic device is provided that includes a first display and a second display. The electronic device also includes a processor configured to allocate a first set of resources to the first display and a second set of resources to the second display. The first set of resources is different from the second set of resources. Each of the first set of resources and the second set of resources includes one or more of at least one available hardware resource and at least one available software resource.

Abstract: An image processing apparatus includes: a signal receiver configured to receive an input image; an image processor configured to process the input image and generate an output image; a storage configured to store a first patch corresponding to a first pixel of the input image; and a controller configured to control the image processor to generate the output image by applying the first patch stored in the storage to the first pixel.

Abstract: Disclosed is a display apparatus including: a signal receiver configured to receive an image signal; a display configured to display an image; a processor configured to: calculate a change degree and a change direction of pixel value differences between at least one first pixel and two or more second pixels of an image, and change a pixel value of the first pixel based on the pixel value difference which is relatively small among the pixel value differences obtained by the calculated change degree and the calculated change direction. According to this, it is possible to enhance the image details without generating or and increasing of the noises.