Abstract: A broadcast receiving device for receiving a transmitted service by using an MPEG Media Transport (MMT) protocol includes a tuner configured to receive Service Layer Signaling (SLS); a memory storing one or more instructions; and a processor configured to execute the one or more instructions stored in the memory to obtain information of one or more contents constituting the service, from an MMT Package (MP) table included in the SLS, determine whether there is second content that is the same as first content being currently received through a first transfer path and is received through a different transfer path from a transfer path of the first content, among the one or more contents, based on the information of the one or more contents, and perform, when there is the second content, a handoff of a content receiving channel from the first transfer path to a second transfer path corresponding to the second content to receive the second content.

Abstract: 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.

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.

Abstract: A display device includes a display panel, a controller, and a data driver. The display panel includes a plurality of pixels. The controller detects a logo region including a logo in image data, determines a correction gain based on a first average gray level of the logo region and a second average gray level of a peripheral region adjacent to the logo region, and generates corrected image data by correcting the image data based on the correction gain. The data driver provides data signals to the plurality of pixels based on the corrected image data.

Abstract: Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

Abstract: The present specification discloses a digital device for performing a hibernation booting process and a control method therefor. Here, the digital device according to an embodiment of the present invention comprises: a first memory; a second memory storing a snapshot image generated on the basis of pieces of page data of the first memory; and a control unit for generating the snapshot image, wherein the control unit primarily deduplicates duplicated page data in the first memory and selectively secondarily deduplicates duplicated page data by comparing the duplicated page data with the snapshot image prestored in the second memory, wherein data fragmentation is minimized through the secondary deduplication step.

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.

Abstract: A display apparatus includes a display panel, a driving controller and a data driver. The display panel includes a pixel. The driving controller generates an age compensation value using a sensed age generated based on sensing data of the pixel and an accumulated age generated based on accumulated grayscale values of input image data, generates a final age based on the age compensation value, and compensates a grayscale value of the input image data based on a final age to generate a data signal. The data driver converts the data signal to a data voltage and outputs the data voltage to the display panel.

Abstract: A slurry composition for a chemical mechanical polishing (CMP) process, the slurry composition including an organic polishing booster including an iminium cation; a carrier; and optionally including inorganic polishing particles, wherein, when included, the inorganic polishing particles are included in the slurry composition in an amount of less than 0.1% by weight, based on a total weight of the slurry composition.

Abstract: Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

Abstract: A method of driving a display panel includes: grouping m adjacent pixels, which output same color light, into one pixel-group in the display panel, where m is an integer greater than or equal to two; determining whether a unit grayscale (UG) to be implemented by the pixel-group is greater than or equal to a determined reference grayscale (REFG) by analyzing respective data signals applied to the pixel-group; performing, in response to the UG being greater than or equal to the REFG, a normal driving that implements the UG by controlling all of the m adjacent pixels to emit light with first luminance corresponding to the respective data signals; and performing, in response to the UG being less than the REFG, a combination driving that implements the UG by controlling only a portion of the m adjacent pixels to emit light with second luminance that is greater than the first luminance.

Abstract: A polishing composition and a method of fabricating a semiconductor device using the same, the polishing composition including an abrasive; a first additive that includes a C5 to C30 hydrocarbon including an amide group and a carboxyl group or a C5 to C30 hydrocarbon including two or more amine groups; and a second additive that includes a sulfonic acid, a sulfonate, or a sulfonate salt.

Abstract: 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.

Abstract: 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.

Abstract: A method of performing image-adaptive tone mapping includes: determining a tone mapping curve based on a data signal corresponding to an image frame to be displayed on a display panel; determining whether a scene-change occurs between the image frame and a previous image frame by comparing the data signal with a previous data signal corresponding to the previous image frame; generating, in response to a determination that the scene-change does not occur, a final tone mapping curve based on the tone mapping curve and a previous tone mapping curve, which is applied to the previous image frame; determining, in response to a determination that the scene change occurs, the tone mapping curve as the final tone mapping curve; and performing a tone mapping by applying the final tone mapping curve to the image frame.

Abstract: Disclosed is a display apparatus. The display apparatus obtains first characteristic information, which is provided according to a plurality of sections of content and corresponds to an image characteristic of a section to be displayed among the plurality of seconds, from a signal received in the signal receiver, obtains first image-quality setting information for setting image quality of the section based on the obtained first characteristic information, obtains second characteristic information corresponding to an image characteristic of a frame included in the section from the frame, obtains second image-quality setting information for setting image quality of the frame based on the obtained first image-quality setting information and the obtained second characteristic information, and controls the display to display an image of the frame, the image quality of the frame being set based on the obtained second image-quality setting information.

Abstract: An electronic apparatus is disclosed. The electronic apparatus includes a memory storing at least one instruction, and a processor, electrically connected to the memory, configured to, by executing the instruction, obtain, from an input image, a noise map corresponding to the input image; provide the input image to an input layer of a learning network model including a plurality of layers, the learning network model being an artificial intelligence (AI) model that is obtained by learning, through an AI algorithm, a relationship between a plurality of sample images, a respective noise map of each of the plurality of sample images, and an original image corresponding to the plurality of sample images; provide the noise map to at least one intermediate layer among the plurality of layers; and obtain an output image based on a result from providing the input image and the noise map to the learning network model.

Abstract: A polishing composition and a method of fabricating a semiconductor device using the same, the polishing composition including an abrasive; a first additive that includes a C5 to C30 hydrocarbon including an amide group and a carboxyl group or a C5 to C30 hydrocarbon including two or more amine groups; and a second additive that includes a sulfonic acid, a sulfonate, or a sulfonate salt.

Abstract: A display device includes a display panel including a display panel including a plurality of pixels, a memory device configured to store pre-scaling data and compensation data, and a panel driver configured to generate first image data by performing a pre-scaling operation on input image data based on the pre-scaling data, generate second image data by performing a compensation operation on the input image data based on the compensation data, and provide a driving signal to the pixels to display a pre-scaled image corresponding to the first image data, or to display a compensated image corresponding to the second image data, wherein the pre-scaling operation is performed before the compensation operation is performed.

Abstract: A method of performing an image-adaptive tone-mapping for a display device including performing a first tone-mapping on an image frame by applying a first tone-mapping function to respective non-target display blocks, and performing a second tone-mapping on the image frame by applying a second tone-mapping function obtained by applying a local weighted value to the first tone-mapping function to respective target display blocks.