Abstract: A display apparatus and method that reduces block noise by performing block noise boundary detections and generating a block noise boundary map on the basis of a result of the detections to cope with local random block noise having irregular shaped and blurred block boundaries to perform adaptive deblocking filtering. The apparatus includes: an image receiver; a map generator to generate a block boundary map by performing convolution using a plurality of kernels on a received image; a determiner to determine a filter parameter on the basis of the block boundary map and a block boundary period included in the block boundary map; a deblocking filter to vary a filter strength on the basis of the determined filter parameter; and a display on which an image in which block noise is removed by the deblocking filter is displayed.

Abstract: A display apparatus includes: a display; a receiver configured to receive data of main content from a content provider; and a processor configured to control the receiver to receive image data and reference information about whether sub content is involved along with main content in the image data, control the display to display an image of the main content and the sub content selectively involved in the main content based on the image data received in the receiver, and make the image be displayed by one image process selected corresponding to whether the sub content is involved in the image based on the reference information among a plurality of image processes.

Abstract: An electronic device and an image conversion method of the electronic device, the electronic device comprising: a receiving unit for receiving a first image from a source device; a decoding unit for decoding brightness information of the first image; a converting unit for converting a dynamic range of the first image on the basis of the decoded brightness information, using a mapping function; and a display unit for displaying a second image having the converted dynamic range on a display, wherein the mapping function is a curve function including a plurality of points determined on the basis of the first image, a characteristic of a change in brightness of a display of the source device, and a characteristic of brightness of a scene of the first image. The present disclosure may generate, for example, a high dynamic range (HDR) image, which is improved from a standard dynamic range (SDR) image.

Abstract: Provided is a multilayer video decoding method including obtaining a multilayer video bitstream; determining, based on the obtained multilayer video bitstream, whether or not a default reference type, in which at least one layer is inter-layer predicted by using at least one reference layer by default, is used; and inter-layer predicting the at least one layer by using the at least one reference layer according to the default reference type, based on the determining of whether or not the default reference type is used, and decoding an image including the at least one layer.

Abstract: Disclosed is a 3D video motion estimating apparatus and method. The 3D video motion estimating apparatus may enable a motion vector of a color image and a motion vector of a depth image refer to each other, thereby increasing a compression rate.

Abstract: A display apparatus includes: a display; a receiver configured to receive data of main content from a content provider; and a processor configured to control the receiver to receive image data and reference information about whether sub content is involved along with main content in the image data, control the display to display an image of the main content and the sub content selectively involved in the main content based on the image data received in the receiver, and make the image be displayed by one image process selected corresponding to whether the sub content is involved in the image based on the reference information among a plurality of image processes.

Abstract: A display apparatus and method that reduces block noise by performing block noise boundary detections and generating a block noise boundary map on the basis of a result of the detections to cope with local random block noise having irregular shaped and blurred block boundaries to perform adaptive deblocking filtering. The apparatus includes: an image receiver; a map generator to generate a block boundary map by performing convolution using a plurality of kernels on a received image; a determiner to determine a filter parameter on the basis of the block boundary map and a block boundary period included in the block boundary map; a deblocking filter to vary a filter strength on the basis of the determined filter parameter; and a display on which an image in which block noise is removed by the deblocking filter is displayed.

Abstract: A video encoding method, a video encoding apparatus, a video decoding method, and a video decoding apparatus are provided. The video encoding method includes reconstructing a first layer image based on encoding information of the first layer image that is obtained from a bitstream, splitting a largest coding unit of a second layer image into coding units based on split information of the second layer image that is obtained from the bitstream, splitting the coding units into prediction units for prediction encoding, determining whether to use a coding tool for decoding a current prediction unit based on at least one among a prediction mode of the current prediction unit among the prediction units, size information of the current prediction unit, and color depth information of the current prediction unit, and decoding the current prediction unit, using the coding tool, in response to the determining to use the coding tool.

Abstract: Provided are an image processing apparatus and method, which use a maximum display luminance value of a mastering display and a maximum display luminance value of a target display according to luminance characteristics of a current scene of an encoded image.

Abstract: A method for adjusting a training of a specific user is provided. The method includes steps of: (a) a server acquiring identification information of the specific user from a user terminal, and (b) the server performing or supporting another device to perform, by referring to the identification information, (I) a first process of allowing the specific user to train basic knowledge data and basic motion data on a specific subject by providing a pre-training content to the user terminal; (II) a second process of allowing the specific user to train practice knowledge data or practice motion data on the specific subject by providing a practice training content to the user terminal; and (III) a third process of allowing the specific user to train application knowledge data and application motion data required to solve scenario-based problems on the specific subject by providing a scenario-based training content to the user terminal.

Abstract: Disclosed are an encoding apparatus and decoding apparatus for a depth image and an encoding method and decoding method. To process a depth image according to an intra prediction mode, the encoding apparatus or the decoding apparatus may use a representative mode from a DC mode of an SDC mode, a planar mode, or DMM1. Further, to process the depth image according to an intra prediction mode, the encoding apparatus or the decoding apparatus may use a representative mode from a planar mode or DMM1.

Abstract: A display apparatus and a method of processing an image thereof are provided. The method includes identifying at least one area of an input image by analyzing a dynamic range of the input image, obtaining at least one mapping function based on dynamic range information and brightness information of the at least one area and dynamic range information of the display apparatus, obtaining at least one virtual image where the dynamic range of the input image is converted using the at least one mapping function, synthesizing the at least one virtual image and the input image, and outputting the synthesized image.

Abstract: Provided is a video processing device and method capable of managing a security level of content included in a video. The video processing method includes: receiving an identifier of a video and information about a security policy to be set to the video; receiving security information related to the security policy; preparing the video by using the received identifier of the video; and updating security information of the prepared video by using the received security information according to the security policy.

Abstract: Disclosed is a video decoding method including: obtaining a disparity vector having components in sub-pixel unit for interlayer prediction between images belonging to a current layer and a reference layer; determining a position of an integer pixel of the reference layer corresponding to a position indicated by the disparity vector obtained from the position of a current pixel of the current layer; and decoding the image of the current layer by using prediction information on a candidate area of the reference layer corresponding to the determined position of the integer pixel.

Abstract: Provided are multilayer video encoding/decoding methods and apparatuses. A multilayer video decoding method may comprise obtaining, from a bitstream, information indicating a maximum size of a decoded picture buffer (DPB) with respect to a layer set comprising a plurality of layers; determining a size of the DPB with respect to the layer set based on the obtained information indicating the maximum size of the DPB; and storing a decoded picture of the layer set in the DPB of the determined size.

Abstract: Provided is a video processing device and method capable of enhancing security of content included in a video, the video processing device including: a loader configured to load an original video; an encoder configured to generate an encoded video including a header and a payload by encoding the loaded original video; and a security information inserter configured to insert security information comprising information about a reproduction right of the video into the header or the payload.

Abstract: Apparatuses and methods configured to encode and decode multi-layer video are provided. A method of prediction-decoding a multi-layer video includes obtaining information indicating whether a decoded picture buffer (DPB) storing a first layer and a DPB storing a second layer operate identically, and operating the DPB storing the second layer based on the obtained information.

Abstract: An inter-view video decoding method may include determining a disparity vector of a current second-view depth block by using a specific sample value selected within a sample value range determined based on a preset bit-depth, detecting a first-view depth block corresponding to the current second-view depth block by using the disparity vector, and reconstructing the current second-view depth block by generating a prediction block of the current second-view depth block based on coding information of the first-view depth block.

Abstract: An interlayer video decoding method comprises reconstructing a first layer image based on encoding information acquired from a first layer bitstream; reconstructing a second layer current block determined as a predetermined partition mode and a prediction mode by using interlayer prediction information acquired from a second layer bitstream and a first layer reference block corresponding to a current block of a first layer reconstruction image that is to be reconstructed in a second layer; determining whether to perform luminance compensation on the second layer current block in a partition mode in which the second layer current block is not split; and compensating for luminance of the second layer current block according to whether luminance compensation is performed and reconstructing a second layer image including the second layer current block of which luminance is compensated for.

Abstract: Disclosed are a method and apparatus for generating local metadata including position information of a similar color mapping region and a color mapping function of the similar color mapping region and a method and apparatus for correcting color components 5 of a pixel in a similar color mapping region based on local metadata.