Abstract:
A method for decoding an image according to the present invention comprises the steps of: restoring a residual block by performing inverse quantization and inverse transformation for the entropy-decoded residual block; generating a prediction block by performing intra prediction for a current block; and restoring an image by adding the restored residual block to the prediction block, wherein the step of generating the prediction block further comprises a step for generating a final prediction value of a pixel to be predicted, on the basis of a first prediction value of the pixel to be predicted, which is included in the current block, and of a final correction value that is calculated by performing an arithmetic right shift by a binary digit 1 for a two's complement integer representation with respect to an initial correction value of the pixel to be predicted. Thus, the operational complexity during image encoding/decoding can be reduced.
Abstract:
A method for decoding an image according to the present invention comprises the steps of: restoring a residual block by performing inverse quantization and inverse transformation for the entropy-decoded residual block; generating a prediction block by performing intra prediction for a current block; and restoring an image by adding the restored residual block to the prediction block, wherein the step of generating the prediction block further comprises a step for generating a final prediction value of a pixel to be predicted, on the basis of a first prediction value of the pixel to be predicted, which is included in the current block, and of a final correction value that is calculated by performing an arithmetic right shift by a binary digit 1 for a two's complement integer representation with respect to an initial correction value of the pixel to be predicted. Thus, the operational complexity during image encoding/decoding can be reduced.
Abstract:
A method for decoding an image according to the present invention comprises the steps of: restoring a residual block by performing inverse quantization and inverse transformation for the entropy-decoded residual block; generating a prediction block by performing intra prediction for a current block; and restoring an image by adding the restored residual block to the prediction block, wherein the step of generating the prediction block further comprises a step for generating a final prediction value of a pixel to be predicted, on the basis of a first prediction value of the pixel to be predicted, which is included in the current block, and of a final correction value that is calculated by performing an arithmetic right shift by a binary digit 1 for a two's complement integer representation with respect to an initial correction value of the pixel to be predicted. Thus, the operational complexity during image encoding/decoding can be reduced.
Abstract:
The present invention relates to a system for transmitting and receiving audio, particularly, to a method and apparatus for transmitting and receiving of object-based audio contents, which packetizes audio objects having the same characteristic. To achieve the above, the present invention includes filtering a plurality of ESs according to common information, adding a packet header to the respective filtered ESs and generate ES packets, aggregating all the generated ES packets and then adding a multi-object packet header to the aggregated ES packets to generate an object packet, and multiplexing the generated object packet, packetizing the multiplexed object packet according to a transmitting media and transmitting the packetized object packet.
Abstract:
A method and a device for encoding/decoding images are disclosed. The method for encoding images comprises the steps of: deriving a scan type of a residual signal for a current block according to whether or not the current block is a transform skip block; and applying the scan type to the residual signal for the current block, wherein the transform skip block is a block to which transform for the current block is not applied and is specified on the basis of information indicating whether or not transform for the current block is to be applied.
Abstract:
A method for decoding an image according to the present invention comprises the steps of: restoring a residual block by performing inverse quantization and inverse transformation for the entropy-decoded residual block; generating a prediction block by performing intra prediction for a current block; and restoring an image by adding the restored residual block to the prediction block, wherein the step of generating the prediction block further comprises a step for generating a final prediction value of a pixel to be predicted, on the basis of a first prediction value of the pixel to be predicted, which is included in the current block, and of a final correction value that is calculated by performing an arithmetic right shift by a binary digit 1 for a two's complement integer representation with respect to an initial correction value of the pixel to be predicted. Thus, the operational complexity during image encoding/decoding can be reduced.
Abstract:
An image synthesizing method according to the present invention includes generating a depth image in a current picture by searching depth information using a plurality of color images obtained at different view points, performing filtering on the depth image using a 3-dimensional (3D) joint bilateral filter, and generating a synthesized image using the plurality of color images and the filtered depth image, wherein the 3D joint bilateral filter performs filtering on the generated depth image using color image information for at least one of previous pictures, the current picture, and subsequent pictures, and the color image information includes information on a boundary of an object in the color images and color information of the color images. According to the present invention, image processing performance may be enhanced.
Abstract:
Provided are a method and apparatus for encoding and decoding images based on constrained offset compensation and a loop filter. The image decoding apparatus: receives, from an encoder, a first indicator indicating whether a sequence, a picture, a frame, a slice, a coding unit (CU), a prediction unit (PU), and/or a transform unit (TU) supports constrained offset compensation; receives, from the encoder, a second indicator indicating whether constrained sample adaptive offset (SAO) compensation or an adaptive loop filter (ALF) is applied; receives a parameter from the encoder; and applies the SAO compensation or the ALF to pixels of a restored image on the basis of the second indicator and the parameter.
Abstract:
An apparatus and method for generating and consuming a three-dimensional (3D) data format to generate a realistic panoramic image are provided. The apparatus may include an image preprocessing unit to search for a matching point between images captured by a plurality of cameras, and to extract, as image information, at least one of a depth value, a texture value and object division information from each of the captured images, an image information structuring unit to structure 3D data to use the extracted image information to generate a realistic image, a 3D data format storage unit to store format information of the structured 3D data in a database (DB), realistic image generating unit to generate a realistic panoramic image using the stored format information of the 3D data, and a realistic image rendering unit to perform rendering on the generated realistic panoramic image.
Abstract:
Provided are a method and apparatus for encoding and decoding images based on constrained offset compensation and a loop filter. The image decoding apparatus: receives, from an encoder, a first indicator indicating whether a sequence, a picture, a frame, a slice, a coding unit (CU), a prediction unit (PU), and/or a transform unit (TU) supports constrained offset compensation; receives, from the encoder, a second indicator indicating whether constrained sample adaptive offset (SAO) compensation or an adaptive loop filter (ALF) is applied; receives a parameter from the encoder; and applies the SAO compensation or the ALF to pixels of a restored image on the basis of the second indicator and the parameter.