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Point cloud attribute encoding and decoding method, device and system based on DCT

An encoding method and a technology for transforming points, which are applied in the fields of devices and systems, point cloud attribute encoding and decoding methods, can solve problems such as unguaranteed correlation, high computational complexity, and affecting encoding performance, and reduce the time complexity of encoding and decoding , Improve coding performance and ensure transformation efficiency

Active Publication Date: 2020-11-17
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method has high computational complexity and low transformation efficiency; and it cannot guarantee a high correlation between adjacent points through translation, which affects coding performance

Method used

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  • Point cloud attribute encoding and decoding method, device and system based on DCT
  • Point cloud attribute encoding and decoding method, device and system based on DCT
  • Point cloud attribute encoding and decoding method, device and system based on DCT

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Experimental program
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Embodiment 1

[0054] See figure 1 , figure 1A schematic flowchart of a method for encoding point cloud attributes based on DCT transform provided by an embodiment of the present invention, including:

[0055] Step 1: Obtain the point cloud data to be encoded.

[0056] The conventional point cloud coding technology mainly includes geometric coding and attribute coding. For the existing PCEM platform and G-PCC platform, the geometric information and attribute information of the point cloud are encoded and decoded separately, and usually completed in the geometric coding. Then, the geometric information is reconstructed, and then the attribute information is encoded based on the reconstructed geometric information. At this stage, attribute encoding is mainly carried out for color information.

[0057] In this embodiment, it is first necessary to perform color space conversion according to actual requirements. If attribute lossy encoding is required, the color information of the point cloud ...

Embodiment 2

[0095] On the basis of the above-mentioned first embodiment, this embodiment also provides a point cloud attribute encoding device based on DCT transform, please refer to image 3 , image 3 A schematic structural diagram of a point cloud attribute encoding device based on DCT transform provided by an embodiment of the present invention, which includes:

[0096] The information acquisition module 11 is used to acquire point cloud data to be encoded.

[0097] The encoding reordering module 12 is configured to reorder the point cloud data to be encoded, and select several points as points to be transformed.

[0098] The DCT transform module 13 is configured to perform DCT transform on the attribute information of the point to be transformed to obtain transform coefficients.

[0099]The quantization and encoding module 14 is used for quantizing and encoding the transform coefficients, so as to realize the encoding of point cloud attributes.

[0100] The DCT transform-based poi...

Embodiment 3

[0102] This embodiment also provides a method for decoding point cloud attributes based on DCT transform, please refer to Figure 4 , Figure 4 A schematic flowchart of a method for decoding point cloud attributes based on DCT transform provided by an embodiment of the present invention, including:

[0103] Step 1: Obtain the information to be decoded, perform decoding and inverse quantization processing, and obtain transform coefficients.

[0104] Specifically, the transform coefficient is the transform coefficient obtained by encoding the point cloud attribute.

[0105] Step 2: Perform inverse DCT transform on the transform coefficient to obtain a transform result; wherein, the transform result is attribute residual information or reconstructed attribute information.

[0106] In the encoding stage, the transform coefficients are obtained from the attribute residuals or the original attributes after DCT transformation; correspondingly, in the decoding stage, by performing D...

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Abstract

The invention discloses a point cloud attribute encoding and decoding method, device and system based on DCT. The encoding method comprises the steps: acquiring point cloud data to be encoded; reordering the to-be-coded point cloud data, and selecting a plurality of points as to-be-transformed points; performing DCT (Discrete Cosine Transformation) on the attribute information of the to-be-transformed points to obtain a transformation coefficient; and quantizing and encoding the transformation coefficient to realize encoding of the point cloud attribute. According to the point cloud attributecoding method based on DCT, the coding time complexity is reduced, and meanwhile the coding performance is improved.

Description

technical field [0001] The invention belongs to the technical field of three-dimensional reconstruction, and in particular relates to a point cloud attribute encoding and decoding method, device and system based on DCT transformation. Background technique [0002] With the development of computer technology, 3D reconstruction technology has been widely used in various fields such as cultural relics protection, game development, architectural design, clinical medicine and so on. 3D reconstruction technology is a process of depth data acquisition, preprocessing, point cloud registration and fusion, surface generation, etc., to describe the real scene into a mathematical model that conforms to the logical expression of the computer. Among them, point cloud compression encoding and decoding technology is one of the key technologies of 3D reconstruction. [0003] Discrete Cosine Transform (DCT) is a transformation in the real number domain. Compared with the traditional Karhunen...

Claims

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Application Information

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IPC IPC(8): H04N19/60H04N19/124
CPCH04N19/60H04N19/124
Inventor 张伟代娜杨付正鲁静芸张苏军
Owner XIDIAN UNIV
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