KR20190005452A - A method and an appratus for processing videos based on syncronized regions - Google Patents

Abstract

Provided are an image processing method for effectively encoding/decoding a synchronized multi-view image and an apparatus thereof. To this end, according to an embodiment of the present invention, a decoding method performed by a decoding apparatus includes a step of performing motion prediction decoding for a current block on a current picture composed of a plurality of temporally or spatially synchronized regions. The step of performing motion prediction decoding includes the following steps: deriving a neighboring reference region in response to a region in which the current block is included; obtaining an illuminance compensation parameter of the reference region; and processing illuminance compensation for the current block in which the motion prediction decoding is performed by using the illuminance compensation parameter.

Description

TECHNICAL FIELD [0001] The present invention relates to a method and apparatus for synchronized region-

The present invention relates to an image processing method and apparatus therefor. More particularly, the present invention relates to a method and apparatus for processing synchronized region-based images.

Recently, as digital image processing and computer graphics technology are developed, researches on virtual reality (VR) technology, which reproduces the real world and realizes it, is being actively studied.

In particular, a recent VR system such as an HMD (Head Mounted Display) not only can provide a three-dimensional stereoscopic image in both sides of a user, but also can track the viewpoint in all directions. Therefore, (VR) image contents.

However, since the 360 VR contents are composed of the multi-view image information of the simultaneous omnidirectionally synchronized spatio-temporal and binocular images, two large images synchronized with respect to the binocular space at all viewpoints in the production and transmission of the image And compresses and transmits them. This increases the complexity and the bandwidth burden. In particular, in a decoding apparatus, an area that is not actually viewed beyond a user's point of view is decoded, thus wasting an unnecessary process.

Accordingly, there is a need for an efficient encoding method in terms of reducing the amount of data to be transferred and the complexity of the video and also in terms of battery consumption of the bandwidth and decoding apparatus.

In the case of the 360 VR content as described above, an image for each view region (REGION, region) acquired through two or more cameras must be processed. In the case of an image acquired through different cameras, The overall brightness and the like of the image are often obtained differently depending on the external environment of the camera. As a result, when the decoding result is implemented as 360-degree VR content, there is a problem that the subjective subjective image quality is greatly deteriorated.

The present invention has been made to solve the above problems and it is an object of the present invention to provide an image processing method and an image processing method for effectively encoding / decoding synchronized multi-view images such as a 360-degree camera or a VR image using spatial structure information of synchronized multi- And an object of the present invention is to provide an apparatus.

In addition, the present invention provides an image processing method and apparatus for providing illumination intensity compensation to prevent subjective quality deterioration due to mismatch of synchronized viewpoint regions or region-dependent illuminance of synchronized multi-view images such as 360-degree cameras or VR images And the like.

According to an aspect of the present invention, there is provided a decoding method performed by a decoding apparatus, the decoding method comprising: a decoding step of decoding a current block on a current picture, which is composed of a plurality of REGIONs, Wherein the step of performing motion prediction decoding comprises: deriving a neighboring reference region corresponding to a region to which the current block belongs; Obtaining an illumination compensation parameter of the reference region; And processing the illumination compensation of the current block to be motion-predictively decoded using the illumination compensation parameter.

According to an aspect of the present invention, there is provided an apparatus for performing motion prediction decoding on a current block on a current picture, the motion prediction decoding including a plurality of temporally or spatially synchronized REGIONs An image decoding unit; And deriving a neighboring reference region corresponding to the region to which the current block belongs, obtaining an illumination compensation parameter of the reference region, and processing the illumination intensity of the current block to be subjected to motion prediction decoding using the illumination compensation parameter And a compensation processing unit.

In order to solve the above problems, a method according to an embodiment of the present invention may be implemented by a program for executing the method in a computer and a recording medium on which the program is recorded.

According to the embodiment of the present invention, the spatial data structure optimized for coding and transmission can be extracted and signaled from the synchronized multi-view image, thereby effectively reducing the transmission data amount, bandwidth, and complexity of the image.

In addition, when a synchronized multi-view image is received in the decoding unit, it is possible to perform an optimized partial and selective decoding for each view according to the signaling information, thereby reducing the system waste. Thus, efficient encoding / Decoding method and apparatus.

In addition, according to the embodiment of the present invention, it is possible to support spatial structure information on various types of synchronized images, thereby enabling proper image reproduction according to the specifications of a decoding apparatus, thereby improving device compatibility.

In addition, the present invention applies a motion compensated prediction block or a motion compensated block to a synchronized viewpoint region or a region-dependent illumination intensity compensation parameter for a synchronized multi viewpoint image, and processes the corresponding adaptive filtering Thereby, there is an advantage that roughness discrepancy can be prevented in advance, and the subjective image quality can be greatly improved.

1 shows an overall system architecture according to an embodiment of the present invention.
2 is a block diagram illustrating a configuration of an image encoding apparatus according to an embodiment of the present invention.
3 to 6 are views showing an example of a spatial structure of a synchronized multi-view image according to an embodiment of the present invention.
7 to 9 are diagrams for explaining a signaling method of spatial structure information according to various embodiments of the present invention.
10 is a diagram for explaining a configuration of spatial structure information according to an embodiment of the present invention.
11 is a view for explaining a type index table of spatial structure information according to an embodiment of the present invention.
12 is a flowchart illustrating a decoding method according to an embodiment of the present invention.
13 illustrates a decoding system according to an embodiment of the present invention.
14 to 15 are diagrams for explaining encoding and decoding processing according to an embodiment of the present invention.
FIGS. 16 through 17 are flowcharts for explaining a decoding method for processing a region parameter-based roughness compensation according to an embodiment of the present invention.
18 is a diagram for explaining a region of a synchronized multi-view image and spatially neighboring regions according to an embodiment of the present invention.
19 is a diagram for explaining a temporally neighboring region according to an embodiment of the present invention.
20 is a view for explaining region adaptive filtering according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. It should be understood, however, that the present invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, the same reference numbers are used throughout the specification to refer to the same or like parts.

Throughout this specification, when a part is referred to as being "connected" to another part, it is not limited to a case where it is "directly connected" but also includes the case where it is "electrically connected" do.

Throughout this specification, when a member is located on another member, this includes not only when a member is in contact with another member but also when another member is present between the two members.

Throughout this specification, when an element is referred to as "including " an element, it is understood that the element may include other elements as well, without departing from the other elements unless specifically stated otherwise. The terms "about "," substantially ", etc. used to the extent that they are used throughout the specification are intended to be taken to mean the approximation of the manufacturing and material tolerances inherent in the stated sense, Accurate or absolute numbers are used to help prevent unauthorized exploitation by unauthorized intruders of the referenced disclosure. The word " step (or step) "or" step "used to the extent that it is used throughout the specification does not mean" step for.

Throughout the present specification, the term of a combination of these in the expression of a mark-up form means a combination or combination of at least one selected from the group consisting of the constituents described in the expression of the mark-up form, Quot; is meant to include one or more selected from the group consisting of

In an embodiment of the present invention, as an example of a method of encoding a synchronized image, standardized jointly by Moving Picture Experts Group (MPEG) and Video Coding Experts Group (VCEG) having the highest coding efficiency among the video coding standards developed so far Encoding may be performed using an HEVC (High Efficiency Video Coding) or a coding technique in progress of the current standardization, but the present invention is not limited thereto.

Generally, the encoding apparatus includes an encoding process and a decoding process, and the decoding apparatus has a decoding process. The decoding process of the decoding apparatus is the same as the decoding process of the encoding apparatus. Therefore, although the encoding apparatus will be mainly described below, the same process can also be applied to the decoding apparatus in the reverse direction.

1 shows an overall system architecture according to an embodiment of the present invention.

Referring to FIG. 1, an overall system according to an embodiment of the present invention includes a preprocessing apparatus 10, an encoding apparatus 100, a decrypting apparatus 200, and a post-processing apparatus 20.

The system according to an embodiment of the present invention includes a preprocessing apparatus 10 for preprocessing a plurality of viewpoint images through an operation such as merging or stitching to obtain a synchronized video frame, And outputs the bit stream; a decoding unit (200) for decoding the synchronized video frame by receiving the bit stream; and a decoding unit And a post-processing device 20 for outputting the output of the post-processing device 20 to the display device.

Here, the input image may include a separate individual image, for example, sub-image information at various time points, in which one or more cameras are photographed in time and space synchronized state. Accordingly, the preprocessing apparatus 10 can acquire the synchronized image information by spatially merging or stitching the acquired multi-view sub-image information according to time.

The encoding apparatus 100 scans and predictively encodes the synchronized image information to generate a bitstream, and the generated bitstream can be transmitted to the decoding apparatus 200. In particular, the encoding apparatus 100 according to the embodiment of the present invention can extract spatial structure information from the synchronized image information, and can signal the signal to the decoding apparatus 200.

Here, the spatial layout information may include basic information about the attributes and the layout of each sub-image, as one or more sub-images are merged into one video frame from the preprocessing apparatus 10 . Further, it may further include additional information on the relationship between each of the sub images and the sub images, which will be described later.

Accordingly, the spatial structure information according to the embodiment of the present invention can be transmitted to the decoding apparatus 200. Then, the decoding apparatus 200 can determine the decoding target and decoding order of the bitstream by referring to the spatial structure information and the user viewpoint information, which can lead to efficient decoding.

Then, the decoded video frame is divided into sub-images for each display through the post-processing device 20 and provided to a plurality of synchronized display systems such as an HMD, A multi-view image can be provided.

2 is a block diagram illustrating a configuration of an image encoding apparatus according to an embodiment of the present invention.

2, an encoding apparatus 100 according to an exemplary embodiment of the present invention includes a synchronized multi-view image acquisition unit 110, a spatial structure information generation unit 120, a spatial structure information signaling unit 130, A luminance compensation processing unit 145, and a transmission processing unit 150. [0031]

The synchronized multi-view image acquisition unit 110 acquires a synchronized multi-view image using synchronized multi-view image acquisition means such as a 360-degree camera. The synchronized multi-view image may include a plurality of time-and-space-synchronized subimages and may be received from the preprocessor 10 or may be received from a separate external input device.

The spatial structure information generation unit 120 divides the synchronized multi-view image into video frames in units of time, and extracts spatial structure information on the video frames. The spatial structure information may be determined according to the attributes and arrangement state of the respective sub images, and may be determined according to information obtained from the preprocessing apparatus 10. [

The spatial structure information signaling unit 130 performs information processing for signaling the spatial structure information to the decoding apparatus 200. For example, the spatial structure information signaling unit 130 may perform one or more processes to be included in the image data encoded by the image encoding unit, to construct a separate data format, or to include the metadata in the metadata of the encoded image .

Then, the image encoding unit 140 encodes the synchronized multi-view image according to the time flow. Also, the image encoding unit 140 can use the spatial structure information generated by the spatial structure information generation unit 120 as reference information to determine an image scanning order, a reference image, and the like.

Accordingly, although the image encoding unit 140 can perform encoding using HEVC (High Efficiency Video Coding) as described above, it can be improved in a more efficient manner for the synchronized multi-view image according to the spatial structure information have.

When the motion prediction decoding of the current block on the current picture is performed in the image coding process performed by the image coding unit 140, the luminance compensation processing unit 145 performs a luminance compensation process on the neighboring reference Derives a region, obtains a luminance compensation parameter of the reference region, and processes luminance compensation of a current block to be motion-predictively decoded using the luminance compensation parameter.

Here, the sub images processed in the preprocessing apparatus 10 and synchronized in time or spatially may be arranged on each picture composed of a plurality of REGIONs. Each of the sub images may be acquired through a different camera or the like, and may be stitched and merged according to image processing in the preprocessing apparatus 10. [ However, the sub-images acquired through each of the cameras may not be uniform in overall brightness due to the external environment at the time of shooting, so that subjective image quality degradation and coding efficiency may be reduced due to inconsistencies.

Accordingly, in the embodiment of the present invention, the region of the sub-image stitched and merged may be referred to as a REGION, and the illumination compensation processing unit 145 may be configured such that in the encoding of the image encoding unit 140, By performing the roughness compensation process based on the roughness compensation parameters obtained for the temporally or spatially adjacent regions as described above, it is possible to compensate for the inconsistency of illumination caused by different cameras, thereby improving the picture quality and improving the coding efficiency .

In particular, the layout of each picture synchronized at a specific time can be determined according to the merging and stitching method of the preprocessing apparatus 10. [ Accordingly, the respective regions in a specific picture may have a spatially mutually neighboring relationship by layout, or a temporally mutually adjacent relationship between regions at the same position in different pictures, and the illumination compensation processing unit 145 The same neighbor relationship information can be obtained from the spatial structure information of the image information or can be obtained from the image encoding unit 140. [

Accordingly, the illumination compensation processing unit 145 determines the neighbor region information corresponding to the current region and the illumination compensation parameter corresponding to the neighbor region information, and accordingly determines the illuminance for the decoding block identified from the image encoding unit 140 Compensation processing can be performed.

Particularly, according to the embodiment of the present invention, the luminance compensation process can be applied to the motion compensation process of the image coding unit 140. The image encoding unit 140 may transmit the motion prediction sample or the block information matched and restored with the motion prediction sample according to the motion compensation to the illumination compensation processing unit 145. The illumination compensation processing unit 145 may include the neighbor region information, It is possible to perform the illumination compensation process for the block that is matched with the motion prediction sample according to the motion prediction sample or the motion compensation according to the parameter.

More specifically, the roughness compensation parameter may include roughness scale information and roughness offset information calculated in advance corresponding to the reference target region. The roughness compensation processing unit 145 applies the roughness scale information and the roughness offset information to the motion prediction samples or the matched and restored blocks, and outputs the roughness-compensated motion prediction samples or the matched and restored blocks to the image encoding unit 140. [ .

In addition, the illumination compensation processing unit 145 can signal at least one of the neighbor region information and the illumination compensation parameter to the decoding apparatus 200 or the post-processing apparatus 20 through the transmission processing unit 150. The operation of the decoding apparatus 200 or the post-processing apparatus 20 will be described later.

The transmission processing unit 150 combines the encoded image data, the spatial structure information inserted from the spatial structure information signaling unit 130, and the neighboring region information or the roughness compensation parameter, And may perform one or more conversion and transmission processing for transmission to the processing device 20. [

3 to 6 are views showing an example of a spatial structure and an image configuration of a synchronized multi-view image according to an embodiment of the present invention.

Referring to FIG. 3, a multi-view image according to an exemplary embodiment of the present invention may include a plurality of temporally synchronized and spatially synchronized image frames.

Each frame can be synchronized according to its own spatial layout and can form a layout of sub-images corresponding to one or more scenes, perspectives or views to be displayed at the same time.

Accordingly, the spatial layout information may be configured such that each sub-image constituting the synchronized multi-view image is composed of one input image through merging, stitching or the like, Point images or sub-images, positional information and angle information of the captured camera, and position information of the captured camera when the input image is composed of a plurality of images synchronized at the same time and corresponding to various views corresponding to the same POC) Image information, merging information, number of sub images, scanning order information, acquisition time information, camera parameter information, reference dependency information between sub images, and the like.

For example, as shown in FIG. 4, image information can be photographed through a divergent camera array, and a 360-degree viewable spatial image can be formed through stiching of an array image can do.

As shown in FIG. 4, the images A ', B', C ', ... photographed corresponding to the respective camera arrays A, B, C ... can be arranged in a one- And left and right and top and bottom area relationship information for stitch processing between arranged images can be exemplified as spatial structure information.

Accordingly, the spatial structure information generation unit 120 can extract the spatial structure information including the various attributes from the input image, and the spatial structure information signaling unit 130 may convert the spatial structure information into an optimized Signaling method.

The spatial structure information generated and signaled as described above can be utilized as useful reference information as described above.

For example, if the content photographed through each camera is a pre-stitched image, each of the pre-stitched images is overlapped before encoding to form one scene. On the other hand, the scene can be divided according to each view, and mutual compensation can be performed between the separated images according to the type.

Accordingly, in the case of a pre-stitched image in which one or more images photographed at a plurality of points are merged and stitched into one image in the preprocessing process and transmitted to the input of the encoder, the scene information of the merged and stitched input image, Etc. may be transferred to the encoding step and the decoding step through separate spatial structure information signaling.

Also, even in the case of a non-stitched image image type in which the images obtained from the multi-viewpoints are transmitted to one or more input images at a time synchronized with time and are encoded and decoded, reference and compensation are performed according to the spatial structure information in the encoding and decoding step To this end, various spatial layout information and corresponding data fields may be needed. The data field may be encoded together with the compression information of the input image, or may be included in separate metadata and transmitted.

Further, the data field including the spatial layout information can be utilized in the rendering process of the image post-processing apparatus 20 and the display.

To this end, the data field including the spatial layout information may include position coordinate information and chrominance information obtained at the time of capturing an image from each camera.

For example, when three-dimensional coordinate information and chrominance information (X, Y, Z), (R, G, B) of an image acquired at the time of acquiring image information from each camera are added to each sub- Information, and this information can be utilized in the post-processing and rendering process of the image after performing decoding.

Further, the data field including the spatial layout information may include camera information of each camera.

As shown in FIGS. 5 to 6, one or more cameras for photographing a three-dimensional space and providing a spatial image may be disposed.

For example, as shown in Fig. 5, the position of one or more cameras may be fixed at a central position and each direction may be set in such a manner as to acquire surrounding objects at one point in a three-dimensional space at the time of image acquisition .

Further, as shown in FIG. 6, one or more cameras may be arranged in such a manner as to photograph one object at various angles. At this time, in the VR display device that reproduces the 3D image based on the coordinate information (X, Y, Z) and the distance information at the time of image acquisition, the user's motion information (Up / Down, Left / Right, Zoom in / Zoom Out ), And the like, and decodes or post-processes a part of the corresponding image, thereby enabling a user to restore a desired point-in-time or partial image. As described above, the synchronized multi- In a system such as compression, transmission, reproduction, etc., a separate image conversion tool module or the like may be added to a portion required depending on the type and characteristics of an image, characteristics of a decoding apparatus, and the like.

For example, when the image obtained from the camera is Equirectangular type, the image encoding unit 140 converts the image type into a video type such as Icosahedron / Cube Map through a conversion tool module according to the compression performance and encoding efficiency of the image, So that the encoding can be performed through this. The conversion tool module may be used in the preprocessing apparatus 10 and the post-processing apparatus 20. The conversion information according to the conversion may be included in the spatial structure information, (20) or a VR display device.

Meanwhile, in order to transfer the synchronized multi-view image according to the embodiment of the present invention, a separate VR image compression scheme for supporting the scalability between the encoding apparatus 100 and the decoding apparatus 200 may be required.

Accordingly, in order to compress the VR image in a scalable manner, the encoding apparatus 100 can compression-encode the image in a manner that distinguishes between the base layer and the enhancement layer.

In this method, in compressing a high-resolution VR image obtained by a single input image from various cameras, the base layer compresses the original image, and in the enhancement layer, a single picture is divided into regions such as Slice / Tile Thereby performing encoding for each sub-image.

At this time, the encoding apparatus 100 can perform compression encoding through inter layer prediction, which improves the coding efficiency by using the restored image of the base layer as a reference image.

On the other hand, when the base layer is decoded and the specific image is to be decoded rapidly according to the motion of the user, the decryption unit 200 can decode a part of the enhancement layer and perform partial image decryption according to the user's motion .

In the scalable compression method, the encoding apparatus 100 encodes the base layer. In the base layer, the original image is scaled down or down-sampled at an arbitrary ratio . At this time, in the enhancement layer, the size of the image is adjusted with the same resolution through Scale Up or Upsampling of the restored image of the base layer, and the restored image of the base layer corresponding thereto is utilized as a reference picture Decoding / decoding can be performed.

According to the processing structure supporting such scalability, the decoding apparatus 200 decodes the entire bitstream of the base layer compressed with a low bit or a low resolution, and only enhances some of the entire bitstream according to the motion of the user It can be decoded into a layer. In addition, since decoding of the entire image is not performed, it is possible to restore the VR image with low complexity.

In addition, according to an image compression method that supports a separate scalability with different resolutions, the encoding device 100 can compress an original image or an image according to the intention of the image creator in the base layer, Layer prediction method for performing coding by referring to a reconstructed image of a base layer in a layer.

In this case, the input image of the enhancement layer may be an image obtained by dividing a single input image by an image segmentation method and encoding the input image into a plurality of regions. One divided area may include at most one subimage, and a plurality of divided areas may be composed of one subimage. The compressed bitstream encoded through this division method can process two or more outputs in the service and application stages. For example, in the service, the entire image is restored and output through decryption of the base layer. In the enhancement layer, only a part of the sub-image and a sub-image It can be decoded.

7 to 9 are diagrams for explaining a signaling method of spatial structure information according to various embodiments of the present invention.

As shown in FIGS. 7 to 9, the spatial structure information includes a NAL (NETWORK ABSTRACTION LAYER) on HLS such as a SPS (Sequence Parameter Set) or VPS (VIDEO PARAMETER SET) It can be signaled as one class type of UNIT type.

FIG. 7 illustrates a NAL UNIT type in which a synchronized image encoding flag is inserted according to an embodiment of the present invention. For example, in FIG. 7, a synchronized image encoding method according to an embodiment of the present invention, such as a VIDEO PARAMETER SET A flag can be inserted.

Accordingly, FIG. 8 illustrates an embodiment of inserting a spatial structure information flag into a VPS (VIDEO PARAMETER SET) according to an embodiment of the present invention.

As shown in FIG. 8, the spatial structure information signaling unit 130 according to the embodiment of the present invention may insert a flag for identifying the type of a separate input image on the VPS. The encoding apparatus 100 may insert a flag indicating that the synchronized multi-view image encoding such as the VR content is performed using the vps_other_type_coding_flag through the spatial structure information signaling unit 130 and the spatial structure information is signaled.

In addition, as shown in FIG. 9, the spatial structure information signaling unit 130 according to an embodiment of the present invention can signal that the image is a multi-view synchronized image on an SPS (Sequence Parameter Set).

For example, as shown in FIG. 9, the spatial structure information signaling unit 130 inserts the input image type (INPUT_IMAGE_TYPE) so that the index information of the synchronized multi-view image is included in the SPS and can be transmitted.

Here, if the INPUT_IMAGE_TYPE_INDEX on the SPS is not -1, or the INDEX value is -1, or if its value is designated as 0 and corresponds semantically to -1, then INPUT_IMAGE_TYPE is set to be synchronized again according to the embodiment of the present invention Point image.

In addition, when the type of the input image is a synchronized multi-view image, the spatial structure information signaling unit 130 signals the SPS by including the view information (PERSPECTIVE INFORMATION) in the SPS, thereby generating a part of the spatial structure information of the synchronized multi- May be inserted into the SPS and transmitted. The viewpoint information is information on which the image layout is signaled for each time frame according to the 3D rendering process of the 2D image, and may include order information such as an upper end, a lower end, and a side view.

Accordingly, the decoding apparatus 200 can decode the flag of the VPS or the SPS to identify whether the corresponding image has been encoded using the spatial structure information according to the embodiment of the present invention. For example, in the case of the VPS of FIG. 5, VPS_OTHER_TYPE_CODING_FLAG may be extracted to check whether the corresponding image is a synchronized multi-view image encoded using spatial structure information.

In the SPS of FIG. 9, the PERSPECTIVE_INFORMATION_INDEX information is decoded to identify actual spatial structure information such as layout.

In this case, the spatial structure information may be configured in the form of a parameter. For example, the spatial structure parameter information may be differently included in the HLS such as SPS, VPS, or the syntax may be configured as a separate function, SEI message.

Also, according to one embodiment, spatial structure information may be included in a PICTURE PARAMETER SET (PPS) and transmitted. In this case, attribute information for each sub-image may be included. For example, the independence of sub-images can be signaled. Independence may indicate that the image can be encoded and decoded without reference to another image, and the sub-images of the synchronized multi-view image may include an INDEPENDENT sub-image and a DEPENDENT sub-image. The dependent sub-images can be decoded with reference to the independent sub-images. The spatial structure information signaling unit 130 may signal independent sub-images in the form of an independent sub-image list on the PPS.

In addition, the spatial structure information may be defined and signaled as an SEI message. FIG. 10 illustrates an SEI message as spatial structure information, and parameterized spatial structure information can be inserted using a spatial layout information descriptor.

As shown in FIG. 10, the spatial structure information includes type index information (INPUT IMAGE TYPE INDEX), PERSPECTIVE INFORMATION, camera parameter information (CAMERA PARAMETER), and the like which can represent a spatial layout of an input image. May include at least one of scene angle information (SCEN ANGLE), scene dynamic range information (SCENE DYNAMIC RANGE), independent sub image information (INDEPENDENT SUB IMAGE), and scene time information (SCENE TIME INFORMATION) A variety of information necessary for efficient coding of an image can be further added. Such parameters may be defined as one descriptor type SEI message format, and the decoding apparatus 200 may parse it and utilize the spatial structure information efficiently in decoding, post-processing, and rendering.

As described above, the spatial structure information may be transmitted to the decoding apparatus 200 in the form of SEI or metadata.

Also, for example, the spatial structure information may be signaled by a selection option such as configuration in the encoding step.

As a first option, the spatial structure information may be included in the VPS / SPS / PPS or Coding unit syntax on the HLS according to the coding efficiency on the syntax.

As a second option, the spatial structure information can be signaled at once into metadata in the form of SEIs in syntax.

Hereinafter, with reference to FIG. 11 to FIG. 13, a more efficient video encoding and decoding method according to the synchronized multi-view image format according to an embodiment of the present invention will be described in detail.

As described above, a plurality of view-by-view images generated in the preprocessing step may be synthesized into one input image and then encoded. In this case, one input image may include a plurality of sub images. Each subimage may be synchronized at the same time instant and may correspond to a different view, a visual point of view (PERSPECTIVE), or a scene, respectively. This has the effect of supporting various views in the same POC (PICTURE ORDER COUNT) without using the existing depth information, and the overlapping area between each sub-image is limited to the boundary area.

In particular, the spatial structure information of the input image may be signaled as described above, and the encoding apparatus 100 and the decoding apparatus 200 may be used to perform efficient encoding and decoding by parsing the spatial structure information. That is, the encoding apparatus 100 may process multi-view image encoding using the spatial structure information in the encoding step, and the decoding apparatus 200 may process the decoding using the spatial structure information in the decoding, preprocessing, and rendering steps .

11 is a view for explaining a type index table of spatial structure information according to an embodiment of the present invention.

As described above, the sub images of the input image can be arranged in various ways. Accordingly, the spatial structure information may separately include a table index for signaling the placement information. For example, as shown in FIG. 11, the synchronized multi-view image is transformed into Equation (ERP), Cubemap (CMP), Equal-area (EAP), Octahedron (OHP), Viewport generation using rectilinear projection, (ISP), Crasters Parabolic Projection for CPP-PSNR calculation, Truncated Square Pyramid (TSP), Segmented Sphere Projection (SSP), Adjusted Cubemap Projection (ACP) and Rotated Sphere Projection (RSP) The table index shown in Fig. 11 corresponding to each layout can be inserted into the structure information.

More specifically, a three-dimensional image of a coordinate system corresponding to 360 degrees can be projected into a two-dimensional image according to each spatial structure information.

The ERP projects and transforms a 360-degree image onto one face. The ERP converts the position of the u, v coordinate system corresponding to the sampling position of the two-dimensional image and the hardness on the sphere corresponding to the u, v coordinate system position And latitude coordinate conversion processing. Accordingly, the spatial structure information may include an ERP index and single plane information (e.g., the face index is set to 0).

The CMP is a projection of a 360 degree image onto six regularly shaped faces and is a face index corresponding to PX, PY, PZ, NX, NY, and NZ (where P is positive and N is negative) f projected sub-images may be arranged. For example, in the case of a CMP image, an ERP image may be converted into a 3 x 2 cubemap image.

Accordingly, the spatial structure information may include a CMP index and each face index information corresponding to the subimage. The post-processing apparatus 20 processes the two-dimensional position information on the sub-image according to the plane index, calculates the position information corresponding to the three-dimensional coordinate system, and outputs the three-dimensional 360-degree image inversely.

ACP, like CMP, applies a function adjusted to three-dimensional bending deformation corresponding to two-dimensional projection transformation and three-dimensional inversion in projecting a 360-degree image onto six regular faces , The processing function is different, but the spatial structure information used may include ACP index and plane index information per sub-image. Accordingly, the post-processing apparatus 20 performs inverse transform processing of the two-dimensional position information on the sub image according to the adjusted index according to the surface index, calculates position information corresponding to the three-dimensional coordinate system, Can be output.

EAP is a transformation that is projected on one face like an ERP and can include latitude and latitude coordinate transformation processing on a sphere immediately corresponding to the sampling position of the two-dimensional image. The spatial structure information may include EAP indexes and single plane information.

The OHP is used to project a 360 degree image onto six regular octagonal faces using six vertices, and the surfaces {F0, F1, F2, F3, F4, F5, F6, V0, V1, V2, V3, V3, V4, V5) may be arranged in the converted image.

Accordingly, the spatial structure information may include an OHP index, face index information corresponding to the subimage, and one or more vertex index information matching the face index information. In addition, sub-image arrangement of the transformed image can be divided into a compact case and a non-compact case. Accordingly, the spatial highlight information may further include the compact or nonidentical identification information. For example, the case of not compact, and the case of compactness, the face index and the vertex index matching information and the inverse transformation process can be determined differently. For example, face indexes 4 may be matched with vertex indices V0, V5, and V1 if they are not compact, and other matches may be processed with V1, V0, and V5 when they are compact.

The post-processing apparatus 20 performs inverse transform processing on the two-dimensional position information on the sub-image according to the plane index and the vertex index, calculates vector information corresponding to the three-dimensional coordinate system, and outputs the inverse- have.

The ISP projects a 360 degree image using 20 faces and 12 vertices, and the sub images according to each transformation can be arranged in the transformed image. The spatial structure information may include at least one of an ISP index, a face index, a vertex index, and compact identification information, similar to the OHP.

The SSP divides the sphere of a 360 degree image into three segments: the North Pole, the Equator, and the Antarctic. The North and South poles are mapped to two circles identified by indexes, And the equatorial projection method identical to ERP can be used. Accordingly, the spatial structure information may include an SSP index and a face index corresponding to each equator, north pole and south pole segment.

The RSP may include a method of dividing a sphere of a 360-degree image into two equal-sized segments, and arranging the segmented images in two rows by unfolding the segmented images. And, the RSP can implement this arrangement using 6 sides as a 3X2 aspect ratio similar to CMP. Accordingly, the transformed image may include a first segment image of the upper segment and a second segment image of the lower segment. The spatial structure information may include at least one of an RSP index, a segment video index, and a face index.

The TSP may include a method of deforming and projecting a frame of a 360-degree image projected on six cube surfaces in correspondence with a surface of a truncated rectangular pyramid. Accordingly, the sizes and shapes of the sub images corresponding to the respective surfaces may be different from each other. The spatial structure information may include at least one of the TSP identification information and the face index.

Viewport generation using rectilinear projection transforms a 360-degree image into a projected two-dimensional image with a viewing angle as a Z-axis. The spatial structure information includes a viewport generation using rectilinear projection index information and a visual port Viewport) information.

Meanwhile, the spatial structure information may further include interpolation filter information to be applied in the image transformation. For example, the interpolation filter information may differ depending on each projection transformation method, and may include at least one of a nearest neighbor, a bilinear filter, a bicubic filter, and a Lanczos filter.

On the other hand, the conversion method and the index for evaluating the processing performance of the preprocessing conversion and post-processing inverse conversion can be separately defined. For example, the performance evaluation can be used to determine the preprocessing method in the preprocessor 10. In this method, a CPP (CPPR) method for converting two different transformed images into a Crasters Parallel Projection (CPP) Can be illustrated.

However, the table shown in FIG. 11 is arbitrarily arranged according to the input image and can be changed according to the coding efficiency, the content distribution of the market, and the like.

Accordingly, the decoding apparatus 200 can parse the separately signaled table index and use it for decoding processing.

Particularly, in the embodiment of the present invention, each of the layout information can be usefully used for partial decoding of an image. That is, sub-image layout information such as CUBIC LAYOUT can be used to distinguish between independent sub-images and dependent sub-images, thereby determining an efficient encoding and decoding scanning sequence, or performing partial decoding for a specific time.

12 is a flowchart illustrating a decoding method according to an embodiment of the present invention.

Referring to FIG. 12, the decoding apparatus 200 receives an image bitstream (S101).

Then, the decoding apparatus 200 confirms whether the multi-view image is a synchronized multi-view image (S103).

Here, the decoding apparatus 200 can identify the synchronized multi-view image from the flag signaled from the spatial structure information signaling unit 130 from the image bit stream. For example, the decoding apparatus 200 can identify in advance whether the multi-view image is a synchronized image from the VPS, SPS, or the like as described above.

If it is not a synchronized multi-view image, general full image decoding is performed (S113).

If the decoded image is a synchronized multi-view image, the decoding apparatus 200 decodes the table index from the spatial structure information (S105).

Here, the decoding apparatus 200 can discriminate whether or not it is an EQUIRECTANGULAR image from the table index (S107).

This is because, among the synchronized multi-view images, the EQUIRECTANGULAR image may not be classified as a separate sub-image, and the decoding apparatus 200 decodes the entire image for the EQUIRECTANGULAR image (S113).

If the image is not an EQUIRECTANGULAR image, the decoding apparatus 200 decodes the remaining SPATIAL LAYOUT INFORMATION (S109) and performs image decoding processing based on the spatial structure information (S111). Here, the image decoding process based on the spatial structure information may further include an illumination compensation process using the illumination compensation parameters for the neighbor regions of the illumination compensation processor 145.

13 is a diagram illustrating a decoding system and its operation according to an embodiment of the present invention.

Referring to FIG. 13, a decoding system 300 according to an embodiment of the present invention receives a fully synchronized multi-view image bit stream and spatial structure information received from the encoding apparatus 100 or an external server, , And configure the client system to provide one or more decoded pictures to the user's virtual reality display device (400).

For this, the decoding system 300 includes a decoding processing unit 310, a user operation analysis unit 320, and an interface unit 330. Although the decryption system 300 is described as a separate system in the present specification, the decryption system 300 and the post-processing apparatus 20 described above for performing the necessary decryption processing and post-processing, A combination of some modules, or may be configured by extending the decoding apparatus 200. Therefore, it is not limited to the name.

Accordingly, the decoding system 300 according to the embodiment of the present invention can selectively decode a part of the entire bitstream based on the spatial structure information received from the encoding apparatus 100 and the user viewpoint information according to the user's motion analysis Can be performed. In particular, according to the selective decoding described with reference to FIG. 13, the decoding system 300 uses the spatial structure information to generate input images having a plurality of viewpoints at the same time (POC, Picture of Count) (PERSPECTIVE). Also, it is possible to perform partial decoding on ROI (Region Of Interest) pictures determined by the user's point of view based on the ROI.

In this way, the decoding system 300 can selectively process the decoding corresponding to the selected specific area using the spatial structure information. For example, the quality parameter (Qp) value corresponding to the specific selection area is determined by the individually processed decoding according to the structure information, and the selective decoding corresponding thereto can be processed. In particular, in selective decoding for the ROI, the value of the quality parameter may be determined differently from the other regions. The quality parameter for the DETAIL area, which is a part of the ROI area, may be determined to be different from the other area according to the user's viewpoint (PERSPECTIVE).

For this purpose, the decoding system 300 may include an interface layer for receiving and analyzing user information, and may include a point of time at which the currently decoded image is supported and a point-of-view mapping, post-processing and rendering of the VR display device 400, Can be performed. More specifically, the interface layer may include one or more processing modules for post-processing and rendering, and an interface 330 and a user motion analyzer 320.

The interface unit 330 may receive motion information from the VR display device 400 worn by the user.

The interface unit 330 may wirelessly or wirelessly transmit at least one of an environmental sensor, a proximity sensor, a motion sensor, a position sensor, a gyroscope sensor, an acceleration sensor, and a geomagnetic sensor of the user's VR display apparatus 400 One or more data communication modules for receiving data.

The user motion analyzer 320 analyzes the user motion information received from the interface 330 to determine the user's viewpoint (PERSPECTIVE), and selects the decoded picture group corresponding to the selection information To the decryption processing unit 310.

Accordingly, the decoding processing unit 310 can set an ROI mask for selecting an ROI (Region Of Intrest) picture based on the selection information transmitted from the user motion analyzing unit 320, and the ROI mask corresponding to the set ROI mask Only the picture area can be decoded. For example, a picture group may correspond to at least one of a plurality of sub-images, or reference images, in the image frame described above.

For example, as shown in FIG. 13, when the sub-images of the specific POC decoded by the decoding processing unit 310 exist from 1 to 8, the decoding processing unit 310 decodes the sub-image corresponding to the time point (PERSPECTIVE) By processing only the sub image areas 6 and 7, the processing speed and efficiency can be improved in real time.

14 to 15 are diagrams for explaining encoding and decoding processing according to an embodiment of the present invention.

FIG. 14 is a block diagram illustrating a detailed configuration of a moving picture encoding apparatus according to an exemplary embodiment of the present invention for encoding the moving picture encoding unit 140 shown in FIG. 2. Referring to FIG. Each sub-image or the entire frame of the synchronized multi-view image can be input and processed as an input video signal.

14, a moving picture encoding apparatus 100 according to the present invention includes a picture dividing unit 160, a transforming unit 162, a quantizing unit 163, a scanning unit 164, an entropy coding unit 165, An inter prediction unit 170, an inverse quantization unit 166, an inverse transformation unit 167, a post-processing unit 171, a picture storage unit 172, a subtraction unit and an addition unit 168 .

The picture division unit 160 analyzes a video signal to determine a prediction mode by dividing a picture into a coding unit of a predetermined size for each largest coding unit (LCU: Largest Coding Unit), and calculates a prediction unit size .

The picture division unit 160 sends the prediction unit to be encoded to the intra prediction unit 169 or the inter prediction unit 170 according to a prediction mode (or a prediction method). Further, the picture division unit 160 sends the prediction unit to be encoded to the subtraction unit.

The picture may be composed of a plurality of slices, and the slice may be composed of a plurality of maximum coding units (LCU).

The LCU can be divided into a plurality of coding units (CUs), and the encoder can add information indicating whether or not to be divided to a bit stream. The decoder can recognize the position of the LCU by using the address (LcuAddr).

The coding unit CU in the case where division is not allowed is regarded as a prediction unit (PU), and the decoder can recognize the position of the PU using the PU index.

The prediction unit PU may be divided into a plurality of partitions. Also, the prediction unit PU may be composed of a plurality of conversion units (TUs).

In this case, the picture dividing unit 160 may send the image data to the subtracting unit in a block unit (for example, PU unit or TU unit) of a predetermined size according to the determined coding mode.

CTB (Coding Tree Block) is used as a unit of video encoding, and the CTB is defined as various square shapes. The CTB is called the coding unit CU (coding unit).

The coding unit (CU) may have a form of a quad tree according to the division. In the case of quadtree plus binary tree (QTBT) partitioning, the coding unit may have a form of a binary tree divided by the quad tree or the terminal node, and the maximum size according to the standard of the encoder is 64 x 256 64 < / RTI >

For example, when the maximum size is 64 × 64, the picture division unit 160 sets the depth to 0 when the depth is 3 when the maximum coding unit is a LCU (Largest Coding Unit) And performs encoding by searching for an optimal prediction unit recursively up to the coding unit (CU). Further, for a coding unit of a terminal node divided into QTBT, for example, a PU (Prediction Unit) and a TU (Transform Unit) may have the same form as the divided coding unit or may have a further divided form.

A prediction unit for performing prediction is defined as a PU (Prediction Unit). Each coding unit (CU) is predicted by a unit divided into a plurality of blocks, and is divided into a square and a rectangle to perform prediction.

The transform unit transforms the original block of the input prediction unit and the residual block, which is the residual signal of the intra prediction unit 169 or the prediction block generated by the inter prediction unit 170. [ The residual block is composed of a coding unit or a prediction unit. A residual block composed of a coding unit or a prediction unit is divided into optimal transform units and transformed. Different transformation matrices may be determined depending on the prediction mode (intra or inter). Also, since the residual signal of the intra prediction has directionality according to the intra prediction mode, the transformation matrix can be adaptively determined according to the intra prediction mode.

The transformation unit can be transformed by two (horizontal, vertical) one-dimensional transformation matrices. For example, in the case of inter prediction, a predetermined conversion matrix is determined.

On the other hand, in case of the intra prediction, when the intra prediction mode is horizontal, the probability that the residual block has the direction in the vertical direction becomes high. Therefore, the DCT-based integer matrix is applied in the vertical direction, Or a KLT-based integer matrix. When the intra prediction mode is vertical, a DST-based or KLT-based integer matrix is applied in the vertical direction and a DCT-based integer matrix is applied in the horizontal direction.

In case of DC mode, DCT-based integer matrix is applied in both directions. Further, in the case of intra prediction, the transformation matrix may be adaptively determined depending on the size of the conversion unit.

The quantization unit determines a quantization step size for quantizing the coefficients of the residual block transformed by the transform matrix. The quantization step size is determined for each coding unit of a predetermined size or larger (hereinafter referred to as a quantization unit).

The predetermined size may be 8x8 or 16x16. And quantizes the coefficients of the transform block using a quantization matrix determined according to the determined quantization step size and the prediction mode.

The quantization unit uses the quantization step size of the quantization unit adjacent to the current quantization unit as a quantization step size predictor of the current quantization unit.

The quantization unit may search the left quantization unit, the upper quantization unit, and the upper left quantization unit of the quantization unit in order, and generate a quantization step size predictor of the current quantization unit using one or two effective quantization step sizes.

For example, the effective first quantization step size searched in the above order can be determined as a quantization step size predictor. In addition, the average value of the two effective quantization step sizes searched in the above order may be determined as a quantization step size predictor, or when only one is effective, it may be determined as a quantization step size predictor.

When the quantization step size predictor is determined, a difference value between the quantization step size of the current encoding unit and the quantization step size predictor is transmitted to the entropy encoding unit.

On the other hand, there is a possibility that the left coding unit, the upper coding unit, and the upper left coding unit of the current coding unit do not exist. On the other hand, there may be coding units that were previously present on the coding order in the maximum coding unit.

Therefore, the quantization step sizes of the quantization units adjacent to the current coding unit and the quantization unit immediately before the coding order in the maximum coding unit can be candidates.

In this case, 1) the left quantization unit of the current coding unit, 2) the upper quantization unit of the current coding unit, 3) the upper left side quantization unit of the current coding unit, 4) . The order may be changed, and the upper left side quantization unit may be omitted.

The quantized transform block is provided as an inverse quantization unit and a scanning unit.

The scanning unit scans the coefficients of the quantized transform block and converts them into one-dimensional quantization coefficients. Since the coefficient distribution of the transform block after quantization may be dependent on the intra prediction mode, the scanning scheme is determined according to the intra prediction mode.

The coefficient scanning method may be determined depending on the size of the conversion unit. The scan pattern may vary according to the directional intra prediction mode. The scan order of the quantization coefficients is scanned in the reverse direction.

When the quantized coefficients are divided into a plurality of subsets, the same scan pattern is applied to the quantization coefficients in each subset. The scan pattern between subset applies zigzag scan or diagonal scan. The scan pattern is preferably scanned to the remaining subsets in the forward direction from the main subset containing the DC, but vice versa.

In addition, a scan pattern between subsets can be set in the same manner as a scan pattern of quantized coefficients in a subset. In this case, the scan pattern between the sub-sets is determined according to the intra-prediction mode. On the other hand, the encoder transmits to the decoder information indicating the position of the last non-zero quantization coefficient in the transform unit.

Information that can indicate the position of the last non-zero quantization coefficient in each subset can also be transmitted to the decoder.

The inverse quantization unit 135 dequantizes the quantized quantized coefficients. The inverse transform unit restores the inversely quantized transform coefficients into residual blocks in the spatial domain. The adder combines the residual block reconstructed by the inverse transform unit with the intra prediction unit 169 or the received prediction block from the inter prediction unit 170 to generate a reconstruction block.

The post-processing unit 171 performs a deblocking filtering process for eliminating the blocking effect generated in the reconstructed picture, an adaptive offset application process for compensating the difference value from the original image on a pixel-by-pixel basis, and a coding unit And performs an adaptive loop filtering process to compensate the value.

The deblocking filtering process is preferably applied to the boundary of a prediction unit and a conversion unit having a size larger than a predetermined size. The size may be 8x8. The deblocking filtering process may include determining a boundary to be filtered, determining a bounary filtering strength to be applied to the boundary, determining whether to apply a deblocking filter, And selecting a filter to be applied to the boundary if it is determined to apply the boundary.

Whether or not the deblocking filter is applied is determined based on i) whether the boundary filtering strength is greater than 0 and ii) whether a pixel value at a boundary between two blocks adjacent to the boundary to be filtered (P block, Q block) Is smaller than a first reference value determined by the quantization parameter.

The filter is preferably at least two or more. If the absolute value of the difference between two pixels located at the block boundary is greater than or equal to the second reference value, a filter that performs relatively weak filtering is selected.

And the second reference value is determined by the quantization parameter and the boundary filtering strength.

The adaptive offset application process is to reduce a distortion between a pixel in the image to which the deblocking filter is applied and the original pixel. It may be determined whether to perform the adaptive offset applying process in units of pictures or slices.

The picture or slice may be divided into a plurality of offset regions, and an offset type may be determined for each offset region. The offset type may include a predetermined number (e.g., four) of edge offset types and two band offset types.

If the offset type is an edge offset type, the edge type to which each pixel belongs is determined and the corresponding offset is applied. The edge type is determined based on the distribution of two pixel values adjacent to the current pixel.

The adaptive loop filtering process can perform filtering based on a value obtained by comparing a reconstructed image and an original image through a deblocking filtering process or an adaptive offset applying process. The adaptive loop filtering can be applied to the entire pixels included in the 4x4 block or the 8x8 block.

Whether or not the adaptive loop filter is applied can be determined for each coding unit. The size and the coefficient of the loop filter to be applied may vary depending on each coding unit. Information indicating whether or not the adaptive loop filter is applied to each coding unit may be included in each slice header.

In the case of the color difference signal, it is possible to determine whether or not the adaptive loop filter is applied in units of pictures. The shape of the loop filter may have a rectangular shape unlike the luminance.

Adaptive loop filtering can be applied on a slice-by-slice basis. Therefore, information indicating whether or not adaptive loop filtering is applied to the current slice is included in the slice header or the picture header.

If the current slice indicates that adaptive loop filtering is applied, the slice header or picture header additionally includes information indicating the horizontal and / or vertical direction filter length of the luminance component used in the adaptive loop filtering process.

The slice header or picture header may include information indicating the number of filter sets. At this time, if the number of filter sets is two or more, the filter coefficients can be encoded using the prediction method. Accordingly, the slice header or the picture header may include information indicating whether or not the filter coefficients are encoded in the prediction method, and may include predicted filter coefficients when the prediction method is used.

On the other hand, not only luminance but also chrominance components can be adaptively filtered. Accordingly, the slice header or the picture header may include information indicating whether or not each of the color difference components is filtered. In this case, in order to reduce the number of bits, information indicating whether or not to filter Cr and Cb can be joint-coded (i.e., multiplexed coding).

At this time, in the case of chrominance components, since Cr and Cb are not all filtered in order to reduce the complexity, it is most likely to be the most frequent. Therefore, if Cr and Cb are not all filtered, the smallest index is allocated and entropy encoding is performed .

When both Cr and Cb are filtered, the largest index is allocated and entropy encoding is performed.

The picture storage unit 172 receives the post-processed image data from the post-processing unit 171, and restores and restores the pictures in units of pictures. The picture may be a frame-based image or a field-based image. The picture storage unit 172 has a buffer (not shown) capable of storing a plurality of pictures.

The inter-prediction unit 170 performs motion estimation using at least one reference picture stored in the picture storage unit 172, and determines a reference picture index and a motion vector indicating a reference picture.

Then, based on the determined reference picture index and motion vector, a prediction block corresponding to the prediction unit to be coded is extracted from the reference pictures used for motion estimation among a plurality of reference pictures stored in the picture storage unit 172 and output .

Here, the inter-prediction unit 170 may provide the motion compensation prediction processing information to the illumination compensation processing unit 145 to process the illumination compensation compensated prediction block for the neighboring region, As described above, the processing of applying the illumination compensation parameters to the prediction block or the block reconstructed according to the reconstruction or matching.

The intra prediction unit 169 performs intraprediction encoding using the reconstructed pixel values in the picture including the current prediction unit.

The intra prediction unit 169 receives the current prediction unit to be predictively encoded and selects one of a predetermined number of intra prediction modes according to the size of the current block to perform intra prediction.

The intraprediction unit 169 adaptively filters the reference pixels to generate intra prediction blocks. If reference pixels are not available, reference pixels may be generated using available reference pixels.

The entropy encoding unit entropy-codes quantization coefficients quantized by the quantization unit, intra prediction information received from the intra prediction unit 169, motion information received from the inter prediction unit 170, and the like.

Although not shown, the inter prediction coding apparatus may include a motion information determination unit, a motion information coding mode determination unit, a motion information coding unit, a prediction block generation unit, a residual block generation unit, a residual block coding unit, and a multiplexer .

The motion information determination unit determines the motion information of the current block. The motion information includes a reference picture index and a motion vector. The reference picture index indicates any one of the previously coded and reconstructed pictures.

And indicates one of the reference pictures belonging to the list 0 (L0) when the current block is unidirectionally inter-predictive-coded. On the other hand, when the current block is bi-directionally predictive-coded, a reference picture index indicating one of the reference pictures of the list 0 (L0) and a reference picture index indicating one of the reference pictures of the list 1 (L1) .

In addition, when the current block is bi-directionally predictive-coded, it may include an index indicating one or two pictures among the reference pictures of the composite list LC generated by combining the list 0 and the list 1.

The motion vector indicates the position of the prediction block in the picture indicated by each reference picture index. The motion vector may be a pixel unit (integer unit) or a sub-pixel unit.

For example, it may have a resolution of 1/2, 1/4, 1/8 or 1/16 pixels. When the motion vector is not an integer unit, the prediction block is generated from the pixels of the integer unit.

The motion information encoding mode determination unit determines whether motion information of the current block is coded in a skip mode, a merge mode, or an AMVP mode.

The skip mode is applied when there is a skip candidate having the same motion information as the current block motion information, and the residual signal is zero. The skip mode is also applied when the current block is the same size as the coding unit. The current block can be viewed as a prediction unit.

The merge mode is applied when there is a merge candidate having the same motion information as the current block motion information. The merge mode is applied when there is a residual signal when the current block is different in size from the coding unit or the size is the same. The merge candidate and the skip candidate can be the same.

AMVP mode is applied when skip mode and merge mode are not applied. The AMVP candidate having the motion vector most similar to the motion vector of the current block is selected as the AMVP predictor.

The motion information encoding unit encodes motion information according to a method determined by the motion information encoding mode determining unit. When the motion information encoding mode is a skip mode or a merge mode, a merge motion vector encoding process is performed. When the motion information encoding mode is AMVP, the AMVP encoding process is performed.

The prediction block generation unit generates a prediction block using the motion information of the current block. If the motion vector is an integer unit, the block corresponding to the position indicated by the motion vector in the picture indicated by the reference picture index is copied to generate a prediction block of the current block.

However, when the motion vector is not an integer unit, the pixels of the prediction block are generated from the pixels in the integer unit in the picture indicated by the reference picture index.

In this case, in the case of a luminance pixel, a prediction pixel can be generated using an 8-tap interpolation filter. In the case of a chrominance pixel, a 4-tap interpolation filter can be used to generate a predictive pixel.

The residual block generator uses residual blocks of the current block and the current block to generate residual blocks. If the current block size is 2Nx2N, a residual block is generated using a 2Nx2N prediction block corresponding to the current block and the current block.

However, if the current block size used for prediction is 2NxN or Nx2N, a prediction block for each of the 2NxN blocks constituting 2Nx2N is obtained, and the 2Nx2N final prediction block using the 2NxN prediction blocks is calculated Can be generated.

The 2Nx2N residual block may be generated using the 2Nx2N prediction block. It is possible to overlap-smoothing the pixels of the boundary portion to solve the discontinuity of the boundary portion of 2NxN-sized two prediction blocks.

The residual block coding unit divides the generated residual block into one or more conversion units. Then, each conversion unit is transcoded, quantized, and entropy encoded. At this time, the size of the conversion unit may be determined according to the size of the residual block in a quadtree manner.

The residual block coding unit transforms the residual block generated by the inter prediction method using an integer-based transform matrix. The transform matrix is an integer-based DCT matrix.

The residual block coding unit uses a quantization matrix to quantize the coefficients of the residual block transformed by the transform matrix. The quantization matrix is determined by a quantization parameter.

The quantization parameter is determined for each coding unit equal to or larger than a predetermined size. The predetermined size may be 8x8 or 16x16. Therefore, when the current coding unit is smaller than the predetermined size, only the quantization parameters of the first coding unit are encoded in the coding order among the plurality of coding units within the predetermined size, and the quantization parameters of the remaining coding units are the same as the parameters. You do not have to.

The coefficients of the transform block are quantized using a quantization matrix determined according to the determined quantization parameter and the prediction mode.

The quantization parameter determined for each coding unit equal to or larger than the predetermined size is predictively encoded using a quantization parameter of a coding unit adjacent to the current coding unit. A quantization parameter predictor of the current coding unit can be generated by searching the left coding unit of the current coding unit, the upper coding unit order, and using one or two valid quantization parameters available.

For example, a valid first quantization parameter retrieved in the above order may be determined as a quantization parameter predictor. In addition, the first coding unit may be searched in order of the coding unit immediately before in the coding order, and the first validation parameter may be determined as a quantization parameter predictor.

The coefficients of the quantized transform block are scanned and converted into one-dimensional quantization coefficients. The scanning scheme can be set differently according to the entropy encoding mode. For example, in the case of CABAC encoding, the inter prediction encoded quantized coefficients can be scanned in a predetermined manner (zigzag, or raster scan in diagonal direction). On the other hand, when encoded by CAVLC, it can be scanned in a different manner from the above method.

For example, the scanning method may be determined according to the intra-prediction mode in the case of interlacing, or the intra-prediction mode in the case of intra. The coefficient scanning method may be determined depending on the size of the conversion unit.

The scan pattern may vary according to the directional intra prediction mode. The scan order of the quantization coefficients is scanned in the reverse direction.

The multiplexer multiplexes the motion information encoded by the motion information encoding unit and the residual signals encoded by the residual block encoding unit. The motion information may vary depending on the encoding mode.

That is, in the case of skipping or merge, only the index indicating the predictor is included. However, in the case of AMVP, the reference picture index, the difference motion vector, and the AMVP index of the current block are included.

Hereinafter, one embodiment of the operation of the intra predictor 169 will be described in detail.

First, the picture dividing unit 160 receives the prediction mode information and the size of the prediction block, and the prediction mode information indicates the intra mode. The size of the prediction block may be a square of 64x64, 32x32, 16x16, 8x8, 4x4, or the like, but is not limited thereto. That is, the size of the prediction block may be non-square instead of square.

Next, the reference pixels are read from the picture storage unit 172 to determine the intra-prediction mode of the prediction block.

It is determined whether or not the reference pixel is generated by examining whether or not the unavailable reference pixel exists. The reference pixels are used to determine the intra prediction mode of the current block.

If the current block is located at the upper boundary of the current picture, pixels adjacent to the upper side of the current block are not defined. In addition, when the current block is located at the left boundary of the current picture, pixels adjacent to the left side of the current block are not defined.

It is determined that these pixels are not usable pixels. In addition, it is determined that the pixels are not usable even if the current block is located at the slice boundary and pixels adjacent to the upper or left side of the slice are not encoded and reconstructed.

As described above, if there are no pixels adjacent to the left or upper side of the current block, or if there are no pixels that have been previously coded and reconstructed, the intra prediction mode of the current block may be determined using only available pixels.

However, it is also possible to use the available reference pixels of the current block to generate reference pixels of unusable positions. For example, if the pixels of the upper block are not available, the upper pixels may be created using some or all of the left pixels, or vice versa.

That is, available reference pixels at positions closest to the predetermined direction from the reference pixels at unavailable positions can be copied and generated as reference pixels. When there is no usable reference pixel in a predetermined direction, the usable reference pixel at the closest position in the opposite direction can be copied and generated as a reference pixel.

On the other hand, even if the upper or left pixels of the current block exist, the reference pixel may be determined as an unavailable reference pixel according to the encoding mode of the block to which the pixels belong.

For example, if the block to which the reference pixel adjacent to the upper side of the current block belongs is inter-coded and the reconstructed block, the pixels can be determined as unavailable pixels.

In this case, it is possible to generate usable reference pixels by using pixels belonging to the restored block by intra-coded blocks adjacent to the current block. In this case, information indicating that the encoder determines available reference pixels according to the encoding mode must be transmitted to the decoder.

Next, an intra prediction mode of the current block is determined using the reference pixels. The number of intra prediction modes that can be allowed in the current block may vary depending on the size of the block. For example, if the current block size is 8x8, 16x16, or 32x32, there may be 34 intra prediction modes. If the current block size is 4x4, 17 intra prediction modes may exist.

The 34 or 17 intra prediction modes may include at least one non-directional mode and a plurality of directional modes.

The one or more non-directional modes may be a DC mode and / or a planar mode. When the DC mode and the planar mode are included in the non-directional mode, there may be 35 intra-prediction modes regardless of the size of the current block.

At this time, it may include two non-directional modes (DC mode and planar mode) and 33 directional modes.

The planner mode generates a prediction block of the current block using at least one pixel value (or a predicted value of the pixel value, hereinafter referred to as a first reference value) located at the bottom-right of the current block and the reference pixels .

As described above, the configuration of the moving picture decoding apparatus according to an embodiment of the present invention can be derived from the configuration of the moving picture coding apparatus described with reference to FIGS. 1, 2, and 14, for example, The image can be decoded by performing an inverse process of the encoding process as described with reference to FIG.

15 is a block diagram illustrating a configuration of a moving picture decoding apparatus according to an embodiment of the present invention.

15, the moving picture decoding apparatus according to the present invention includes an entropy decoding unit 210, an inverse quantization / inverse transform unit 220, an adder 270, a deblocking filter 250, a picture storage unit 260, An intra prediction unit 230, a motion compensation prediction unit 240, an intensity compensation processing unit 245, and an intra / inter changeover switch 280.

The entropy decoding unit 210 decodes the encoded bit stream transmitted from the moving picture encoding apparatus into an intra prediction mode index, motion information, a quantized coefficient sequence, and the like. The entropy decoding unit 210 supplies the decoded motion information to the motion compensation prediction unit 240. [

The entropy decoding unit 210 supplies the intra prediction mode index to the intraprediction unit 230 and the inverse quantization / inverse transformation unit 220. In addition, the entropy decoding unit 210 supplies the inverse quantization coefficient sequence to the inverse quantization / inverse transformation unit 220.

The inverse quantization / inverse transform unit 220 transforms the quantized coefficient sequence into an inverse quantization coefficient of the two-dimensional array. One of a plurality of scanning patterns is selected for the conversion. One of a plurality of scanning patterns is selected based on at least one of a prediction mode of the current block (i.e., one of intra prediction and inter prediction) and the intra prediction mode.

The intraprediction mode is received from an intraprediction unit or an entropy decoding unit.

The inverse quantization / inverse transform unit 220 restores the quantization coefficients using the selected quantization matrix among the plurality of quantization matrices to the inverse quantization coefficients of the two-dimensional array. A different quantization matrix is applied according to the size of the current block to be restored and a quantization matrix is selected based on at least one of a prediction mode and an intra prediction mode of the current block with respect to the same size block.

Then, the reconstructed quantized coefficient is inversely transformed to reconstruct the residual block.

The adder 270 reconstructs the image block by adding the residual block reconstructed by the inverse quantization / inverse transforming unit 220 to the intra prediction unit 230 or the prediction block generated by the motion compensation prediction unit 240.

The deblocking filter 250 performs deblocking filter processing on the reconstructed image generated by the adder 270. Accordingly, the deblocking artifact due to the video loss due to the quantization process can be reduced.

The picture storage unit 260 is a frame memory for holding a local decoded picture in which the deblocking filter process is performed by the deblocking filter 250.

The intraprediction unit 230 restores the intra prediction mode of the current block based on the intra prediction mode index received from the entropy decoding unit 210. A prediction block is generated according to the restored intra prediction mode.

The motion compensation prediction unit 240 generates a prediction block for the current block from the picture stored in the picture storage unit 260 based on the motion vector information. When motion compensation with a decimal precision is applied, a prediction block is generated by applying a selected interpolation filter.

Here, the motion compensation prediction unit 240 may provide the motion compensation prediction processing information to the luminance compensation processing unit 245 so that the luminance compensation compensated prediction block for the neighboring region may be processed. 2, as described above, the processing of applying the illumination compensation parameters to the prediction block or the block reconstructed according to the reconstruction or matching.

The intra / inter selector switch 280 provides the adder 270 with a prediction block generated in either the intra prediction unit 230 or the motion compensation prediction unit 240 based on the coding mode.

The current block is reconstructed using the predicted block of the current block restored in this manner and the residual block of the decoded current block.

The moving picture bitstream according to an embodiment of the present invention may include PS (parameter sets) and slice data as a unit used to store coded data in one picture.

A PS (parameter set) is divided into a picture parameter set (hereinafter, simply referred to as PPS) and a sequence parameter set (hereinafter simply referred to as SPS) which are data corresponding to the heads of each picture. The PPS and the SPS may include initialization information required to initialize each encoding, and may include SPATALAYOUT INFORMATION according to an embodiment of the present invention.

The SPS is common reference information for decoding all pictures coded in the random access unit (RAU), and may include a profile, a maximum number of pictures usable for reference, a picture size, and the like.

For each picture coded by the random access unit (RAU), the PPS may include a variable length coding method as reference information for decoding the picture, an initial value of the quantization step, and a plurality of reference pictures.

On the other hand, the slice header SH includes information on the corresponding slice when coding is performed on a slice basis.

Also, whether the illumination compensation process is performed as described above may be signaled in the form of a flag, and may be included in at least one of the VPS, the SPS, and the PPS according to the image unit of the previously defined roughness compensation process.

In addition, the neighbor region information and the illumination compensation parameter may be included in the PPS together with the spatial structure information. Also, for example, the initial neighbor region information may be transmitted in header information corresponding to the first image unit (e.g., tile or slice) in a specific picture, and the next neighbor region information may be transmitted to the initial neighbor region information Lt; / RTI >

FIGS. 16 through 17 are flowcharts for explaining a decoding method for processing a region parameter-based roughness compensation according to an embodiment of the present invention.

FIG. 18 is a diagram for explaining a region and a spatially neighboring region of a synchronized multi-view image according to an embodiment of the present invention. FIG. 19 is a view for explaining a temporally neighboring region according to an embodiment of the present invention. FIG.

First, as shown in FIGS. 18 and 19, each of the sub images is subjected to spatial stitching and merging processing, thereby being arranged in each perspective region (REGION) corresponding to one picture. Accordingly, each of the regions spatially merged and synchronized with each other along the spatial axis can constitute one picture, and one picture can be arranged on a time axis according to a time order POC (Picture Order Count) order.

Accordingly, the plurality of regions may be synchronized with each other to correspond to a plurality of plane indexes (FACE INDEXs) constituting the current picture, and neighboring reference regions may correspond to the current picture, (FACE INDEX) that is spatially adjacent to the other face indexes (FACE INDEX). For example, as shown in FIG. 18, the region neighboring the spatial axis of the current region I to which the current block of the Nth picture POC N belongs may be any of the previously decoded regions a, b, c, and e .

In addition, the plurality of regions may be spatially synchronized, and may be located at the same position as the current region among pictures in different time zones. Accordingly, the neighboring reference region may correspond to a picture to which a region of the current block belongs, and may be located in the same position of temporally adjacent pictures. As shown in FIG. 19, a region adjacent to the time axis of the current region a to which the current block of POC N belongs may correspond to the co-located region a 'of the previously decoded POC N'.

Thus, the region may correspond to a plurality of block divisions within an arbitrary picture, and may be defined, for example, as a picture dividing method or structure such as a slice or a tile according to an encoding standard. According to an exemplary definition, the minimum size of a region may be defined as two or more CTUs, and the maximum size may correspond to one picture.

At this time, the division structure for the region division may be signaled by being defined as a separate syntax according to the standard, or may be included in the syntax of a specific picture division unit such as a slice or a tile. Here, the signaled information may include at least one of the region division information and the illumination compensation parameter information.

Thus, the illumination compensation processing unit 145 of the encoding apparatus 100 determines spatially or temporally neighboring regions with respect to the current region, obtains the determined region's lightness compensation parameters, and uses the lightness compensation parameters The intensity compensation process for the current region can be performed and the signaling information according to the signaling information can be generated and transmitted to the decoding apparatus 200.

16 is a flowchart showing a first embodiment in which the decoding apparatus 200 processes luminance compensation for a predicted sample. Referring to FIG. 16, the decoding apparatus 200 includes an entropy decoding unit And performs inverse quantization and inverse transformation through the inverse quantization / inverse transform unit 220 (S203). The motion compensation prediction unit 240 performs motion compensation prediction processing of the current block To obtain a prediction sample (S205).

The decoding apparatus 200 identifies the current region to which the current block belongs through the luminance compensation processing unit 245 in step S207 and acquires the luminance compensation parameters of the neighboring region corresponding to the current region in step S209, Compensated predicted sample for the predicted sample of the current block using the illumination compensation parameter (S211), and may transmit the predicted sample to the motion compensation predictor 240. [

Here, the roughness compensation process of the predicted sample can be processed by applying a linear function of a scale factor a, which is an roughness scale parameter, and an offset (offset) parameter, which is an roughness offset parameter, as the following roughness compensation parameters. For example, if Y is a predicted sample that has undergone illumination compensation, an operation such as Y =? * Pic_values +? Can be processed. Here, pic_values may include the value of the motion compensation prediction sample (Predictor).

To this end, the illumination compensation processing unit 245 can obtain the neighboring region information or its initial information and the illumination compensation parameters of the neighboring regions from the signaling information from the encoding apparatus 100 described above. For example, according to the region, when one picture is divided into N pictures in an arbitrary image, there are N luminance compensation parameters, that is, Region parameters (?,?) For each picture.

In operation S213, the motion compensation prediction unit 240 may generate a reconstruction block by performing a matching process using the prediction samples subjected to the illumination compensation process and a residual block provided from the inverse quantization / inverse transformation unit 220. [ For example, the motion compensation prediction unit 240 may generate a reconstruction block by matching a motion compensation prediction block and a residual block, which are subjected to illumination compensation through an adder.

Then, the decoding apparatus 200 identifies the border region with the neighbor region according to the region information, confirms the filter presence / absence information corresponding to the border region, and performs filter processing corresponding to the border region composed of the restoration block It can be adaptively processed (S215). This can be processed through the intensity compensation processing unit 245 or the deblocking filter 250 and is described in more detail in FIG.

FIG. 17 is a flowchart showing a second embodiment in which the decoding apparatus 200 processes illumination compensation for a predicted sample. Referring to FIG. 16, the decoding apparatus 200 includes an entropy decoding unit And performs inverse quantization and inverse transform through the inverse quantization / inverse transform unit 220 in step S303. The motion compensation prediction unit 240 performs motion compensation prediction processing of the current block through the motion compensation prediction unit 240 (S305).

The motion compensation prediction unit 240 may generate a reconstruction block by performing a matching process using the prediction sample and the residual block provided from the inverse quantization / inverse transformation unit 220 (S307). For example, the motion compensation prediction unit 240 may generate a reconstruction block by matching a motion compensation prediction block and a residual block, which are subjected to illumination compensation through an adder.

Then, the decoding apparatus 200 identifies the current region to which the restored block belongs, obtains the illumination compensation parameters of the neighbor regions corresponding to the current region through the illumination compensation processing unit 245 (S309) And performs an illumination compensation process on the restored block using the compensation parameter (S311).

In this case, the roughness compensation process of the reconstruction block can be processed by linearly applying a scale factor? And an offset? Similarly to the processing of a prediction sample. For example, if Y is a luminance compensated reconstruction block, an operation such as Y = [alpha] * pic_values + [beta] may be processed. Here, pic_values may include the value of the reconstructed block (RECONSTRUCTED) according to the matching process.

To this end, the illumination compensation processing unit 245 can obtain the neighboring region information or the initial information for deriving the signal from the signaling information from the encoding apparatus 100 and the illumination compensation parameters of the neighboring regions. For example, according to the region, when one picture is divided into N pictures in an arbitrary image, there are N luminance compensation parameters, that is, Region parameters (?,?) For each picture.

Then, the decoding apparatus 200 identifies the border region with the neighbor region according to the region information, confirms the filter presence / absence information corresponding to the border region, and performs filter processing corresponding to the border region composed of the restoration block It can be adaptively processed (S215). Which can be processed through the intensity compensation processing unit 245 or the deblocking filter 250. [

In the light intensity compensation process corresponding to Figs. 16 and 17, the neighbor region may include at least one of a region neighboring the space axis or a region neighboring the time axis as shown in Fig. 19, as shown in Fig. 18 described above , The intensity compensation parameter may be obtained from one or more neighbor regions. Which can be determined by the encoding apparatus 100 and signaled to the decoding apparatus 200.

If the illumination compensation process corresponding to FIG. 16 or 17 is performed using the illumination compensation parameters of spatially neighboring regions, the decoding apparatus 200 further performs a local illumination compensation (LIC) It is possible.

In this case, after correction of some sparse brightness values in a spatial unit is performed, correction of finer brightness values in a temporal unit can be performed.

Accordingly, in the illumination compensation process, the decoding apparatus 200 first applies the illumination compensation process using a spatially-adjacent region, and performs a temporal local illumination compensation for the illumination-compensated region Processing can be performed.

20 is a view for explaining region adaptive filtering according to an embodiment of the present invention.

Referring to FIG. 20, according to an embodiment of the present invention, when a restoration block belongs to a boundary region between neighboring regions after the matching step as in S215 or S313, the decoding apparatus 200 performs a boundary region filtering And on / off information for this can be signaled from the encoding apparatus 100 to the decoding apparatus 200. [0050] FIG.

Accordingly, in the region-based intensity compensation, the decoding apparatus 200 according to the embodiment of the present invention can identify the boundary region between the region and the region for luminance compensation in advance, and then, the deblocking filter 250 or the roughness The filter processing corresponding to the boundary region can be selectively performed through the compensation processing unit 245. [

In this case, the filter direction may be vertical to horizontal or horizontal, and may be selectively applied only to the region of the region boundary.

In addition, the illuminance compensation of the above-described illuminance compensation processing unit 245 may also be applied only to the boundary region. Accordingly, the illumination compensation processing unit 245 may selectively perform the illumination compensation processing as shown in FIG. 16 or 17 only when the current block is identified as the boundary region between the regions.

Accordingly, referring to FIG. 20, in the region b of the region b, filter processing or illumination compensation processing in the horizontal direction can be selectively performed in the decoding apparatus 200 with reference to the base-decoded region a.

In addition, the region a 'can be selectively performed in the decoding apparatus 200 by referring to the value of the region-decoded Region a, and filtering processing or illumination compensation processing in the vertical direction.

On the other hand, the region b 'can be selectively subjected to filter processing or luminance compensation processing in at least one of vertical and horizontal directions with reference to the decoded region b and the region a'.

The method according to the present invention may be implemented as a program for execution on a computer and stored in a computer-readable recording medium. Examples of the computer-readable recording medium include a ROM, a RAM, a CD- , A floppy disk, an optical data storage device, and the like.

The computer readable recording medium may be distributed over a networked computer system so that computer readable code can be stored and executed in a distributed manner. And, functional programs, codes and code segments for implementing the above method can be easily inferred by programmers of the technical field to which the present invention belongs.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It should be understood that various modifications may be made by those skilled in the art without departing from the spirit and scope of the present invention.

Claims (18)

A decoding method performed by a decoding apparatus,
Performing motion prediction decoding of a current block on a current picture, the motion prediction decoding comprising a plurality of temporally or spatially synchronized REGIONs,
The step of performing the motion prediction decoding includes:
Deriving a neighboring reference region corresponding to the region to which the current block belongs;
Obtaining an illumination compensation parameter of the reference region; And
Processing the luminance compensation of the current block to be motion-predictive-decoded using the luminance compensation parameter
Decoding method. The method according to claim 1,
Wherein the plurality of regions are synchronized in time and correspond to a plurality of plane indices (FACE INDEX) constituting the current picture
Decoding method. 3. The method of claim 2,
The neighboring reference region
And a region index corresponding to another one of the face indexes spatially adjacent on the current picture in correspondence with the region to which the current block belongs,
Decoding method. The method according to claim 1,
The plurality of regions being spatially synchronized, the plurality of regions being arranged in the same position as the current region among pictures in different time zones
Decoding method. 5. The method of claim 4,
The neighboring reference region
Corresponding to the picture to which the region of the current block belongs,
Decoding method. The method according to claim 1,
The step of performing the intensity compensation may include:
Generating a motion prediction sample corresponding to the current block;
Applying the intensity compensation parameter to the motion prediction sample; And
And obtaining a restoration block by matching the residual block with the motion prediction sample to which the intensity compensation parameter is applied
Decoding method. The method according to claim 1,
The step of performing the intensity compensation may include:
Generating a motion prediction sample corresponding to the current block;
Obtaining a restoration block by matching the motion prediction sample with a residual block; And
And applying the intensity compensation parameter to the reconstruction block
Decoding method. The method according to claim 1,
The light intensity compensation parameter may be,
A plurality of regions including a predetermined illumination scale parameter and an illumination intensity offset parameter corresponding to each of the plurality of regions
Decoding method. The method according to claim 1,
And performing adaptive filtering if the intensity compensated block is located in a boundary region between the current region and the neighboring region
Decoding method. In the decoding apparatus,
An image decoding unit which performs motion prediction decoding on a current block on a current picture, which is composed of a plurality of REGIONs synchronized in time or spatially; And
Wherein the illumination compensation unit is configured to derive a neighboring reference region corresponding to a region to which the current block belongs and to obtain an illumination compensation parameter of the reference region, Comprising a processor
Decoding device. 11. The method of claim 10,
Wherein the plurality of regions are synchronized in time and correspond to a plurality of plane indices (FACE INDEX) constituting the current picture
Decoding device. 12. The method of claim 11,
The neighboring reference region
And a region index corresponding to another one of the face indexes spatially adjacent on the current picture in correspondence with the region to which the current block belongs,
Decoding device. 11. The method of claim 10,
The plurality of regions being spatially synchronized, the plurality of regions being arranged in the same position as the current region among pictures in different time zones
Decoding device. 14. The method of claim 13,
The neighboring reference region
Corresponding to the picture to which the region of the current block belongs,
Decoding device. 11. The method of claim 10,
The illuminance compensation processing unit,
Wherein the image decoding unit applies the intensity compensation parameter to the motion prediction sample when generating the motion prediction sample corresponding to the current block,
The image decoding unit obtains a reconstruction block by matching a residual block with a motion prediction sample to which the intensity compensation parameter is applied
Decoding device. 11. The method of claim 10,
The illuminance compensation processing unit,
Wherein the image decoding unit generates a motion prediction sample corresponding to the current block and acquires a reconstruction block by matching the motion prediction sample and the residual block to apply the intensity compensation parameter to the reconstruction block
Decoding device. 11. The method of claim 10,
The image decoding unit identifies whether or not the intensity compensation processing is applied from header or syntax information signaled from the outside corresponding to the current block
Decoding device. 11. The method of claim 10,
The illumination compensation processing unit obtains the illumination compensation parameters for the illumination compensation from the externally signaled header or syntax information corresponding to the current block
Decoding device.

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