Abstract: The present disclosure provides a method and a device for image quality enhancement based on a super-resolution neural network. The present disclosure in at least one embodiment provides an image quality enhancement method optimized for distortion characteristics of a target image, including generating one or more training datasets with one or more distortions, obtaining training distortion characteristic values respectively by inputting the one or more training datasets into a degradation encoder neural network (DEN), obtaining a service distortion characteristic value by inputting a service dataset comprising image patches of the target image into the degradation encoder neural network, computing a similarity between each of the training distortion characteristic values and the service distortion characteristic value, and selecting the training dataset having the highest similarity to the service distortion characteristic value.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: Disclosed is video encoding/decoding method and apparatus using a correlation of YCbCr. According to an aspect of the present disclosure, the video decoding method for predictively decoding a target block includes, receiving a bitstream and generating a residual block for a chroma block, generating reconstructed information in a luma block corresponding to the chroma block and reconstructed neighboring information about the luma block, generating reconstructed neighboring information about the chroma block, determining a scaling value and an offset value based on the reconstructed neighboring information about the chroma block and the reconstructed neighboring information about the luma block, generating a prediction block for the chroma block by applying the determined scaling value and offset value to the reconstructed information in the luma block, and generating a reconstructed block for the chroma block based on the residual block for the chroma block and the prediction block for the chroma block.

Abstract: A video decoding apparatus and a method for adaptively setting a resolution are disclosed. According to one embodiment of the present invention, a method for adaptively setting a resolution on a per-picture basis comprises the steps of: decoding maximum resolution information from a bitstream; decoding, from the bitstream, resolution information about a current picture; and setting the resolution of the current picture on the basis of the maximum resolution information or the resolution information, wherein the resolution information has a size less than or equal to that of the maximum resolution information.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to video encoding or decoding and, more specifically, to an apparatus and a method for applying an artificial neural network (ANN) to video encoding or decoding. The apparatus and the method of the present disclosure are characterized by applying a CNN-based filter to a first picture and at least one of a quantization parameter map and a block partition map to output a second picture.

Abstract: The present disclosure relates to an inhibitor that blocks HIF-1? expression or activity. The inhibitor of the present disclosure effectively inhibits the expression of HIF-1? in the eye and downregulates the expression of angiogenic factors and/or inflammatory factors and, thus, can be usefully used for the prevention or treatment of eye disease.

Abstract: Disclosed herein is a method for decoding a video including determining a coding unit to be decoded by block partitioning, decoding prediction syntaxes for the coding unit, the prediction syntaxes including a skip flag indicating whether the coding unit is encoded in a skip mode, after the decoding of the prediction syntaxes, decoding transform syntaxes including a transformation/quantization skip flag and a coding unit cbf, wherein the transformation/quantization skip flag indicates whether inverse transformation, inverse quantization, and at least part of in-loop filterings are skipped, and the coding unit cbf indicates whether all coefficients in a luma block and two chroma blocks constituting the coding unit are zero, and reconstructing the coding unit based on the prediction syntaxes and the transform syntaxes.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.

Abstract: A filtering method comprises: determining at least one block boundary to which filtering is to be applied in a reconstructed image; setting a boundary strength of the block boundary based on prediction modes of two target luma blocks forming the block boundary among a plurality of prediction modes, a type of the block boundary and preset conditions; calculating an average value of quantization parameters which are respectively applied to the target luma blocks, and deriving a variable by adding the average value to an offset value derived based on offset information to be encoded at a level of a sequence parameter set that is a header which is referenced in common by the pictures belonging to the sequence; and determining whether to perform the filtering on the block boundary and performing the filtering based on the set boundary strength and the variable.