Multi-prediction method and system based on image scene

A prediction method and image technology, applied in the multimedia field, can solve the problems of not making full use of pixel texture correlation, not being able to further reduce the computational complexity of the theoretical limit entropy, and not choosing a prediction algorithm, so as to improve the subjective picture quality and reduce the theoretical limit Entropy, good prediction effect

Inactive Publication Date: 2019-02-01
XIAN CREATION KEJI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The existing prediction methods do not choose different prediction algorithms for different scenes of the image, do not make full use of the correlation between pixel textures, and cannot further reduce the theoretical limit entropy and computational complexity

Method used

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  • Multi-prediction method and system based on image scene
  • Multi-prediction method and system based on image scene

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Experimental program
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Embodiment 1

[0058] See figure 1 , figure 1 This is a schematic flowchart of a multi-prediction method based on image scenes provided by an embodiment of the present invention. The method includes the following steps:

[0059] Step 1. Divide the image into several macroblocks;

[0060] Step 2: Obtain prediction residuals for each pixel component to be predicted of the current macroblock according to different prediction methods; wherein the different prediction methods include a multi-pixel component prediction method and a macroblock segmentation prediction method;

[0061] Step 3: Select the final prediction method of the current macroblock according to the preset algorithm according to the prediction residuals respectively obtained by the different prediction methods.

[0062] Wherein, the multi-pixel component prediction method in step 2 may include:

[0063] Step 211: Determine a reference value of the pixel component to be predicted according to each pixel component of the pixel to be predict...

Embodiment 2

[0086] See figure 2 , figure 2 This is a schematic structural diagram of an image scene-based multi-prediction system provided by an embodiment of the present invention. This embodiment proposes a multi-prediction system based on image scenes on the basis of the foregoing embodiments, including:

[0087] The image division module 01 is used to divide the image into several macroblocks;

[0088] The multi-pixel component prediction module 02 is connected to the image division module 01 and is configured to obtain the first prediction residual for each pixel component to be predicted in the current macroblock;

[0089] The macroblock division prediction module 03 is connected to the image division module 01, and is configured to obtain a second prediction residual for each pixel component to be predicted of the current macroblock;

[0090] The selection module 04 is respectively connected to the multi-pixel component prediction module 02 and the macroblock segmentation prediction modu...

Embodiment 3

[0102] This embodiment provides a detailed description of the multi-pixel component prediction method proposed by the present invention on the basis of the foregoing embodiment, as Figure 4 As shown, Figure 4 It is a schematic diagram of the principle of a multi-pixel component prediction method provided by an embodiment of the present invention. The prediction method includes the following steps:

[0103] S21, define that the current pixel has K (K> 1) Pixel components, respectively component 1, component 2...component K;

[0104] S22: For each component of the current pixel, determine N texture direction gradient values ​​G1 to GN of each component through the surrounding components of the component;

[0105] Preferably, the surrounding components of the current pixel component may or may not be adjacent to the current pixel component; Figure 5 As shown, Figure 5 This is a schematic diagram of the positions of the current pixel component and surrounding pixel components provided...

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Abstract

The invention relates to a multi-prediction method based on an image scene. The method comprises the following steps: 1, dividing an image into multiple macroblocks; 2, obtaining prediction residualsfor each pixel component to be predicted of a current macroblock according to different prediction methods, wherein the different prediction methods include a multi-pixel component prediction method and a macroblock segmentation prediction method; and 3, selecting a final prediction method of the current macroblock according to a preset algorithm and the prediction residuals obtained by the different prediction methods. The multi-prediction method based on the image scene provided by the invention further reduces the theoretical limit entropy of prediction by selecting the optimal prediction method of the current macroblock through the preset algorithm according to different image scenes.

Description

Technical field [0001] The present invention relates to the field of multimedia technology, in particular to a multi-prediction method and system based on image scenes. Background technique [0002] With the continuous improvement of the public's demand for video quality, the image resolution of video is one of the important characteristics of video quality, and the image resolution of video has also increased exponentially. It has transitioned from 720p and 1080p to the current mainstream 4K in the market. Video resolution, the corresponding video compression standard has also transitioned from H.264 to H.265. As a result, the data volume of the video image is very huge, and how to improve the storage space and transmission bandwidth of the image is particularly necessary. [0003] Image compression is mainly composed of four parts, including prediction module, quantization module, code control module and entropy coding module. The prediction module, as an important module, uses...

Claims

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Application Information

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IPC IPC(8): H04N19/103H04N19/159H04N19/176H04N19/42H04N19/50
CPCH04N19/103H04N19/159H04N19/176H04N19/42H04N19/50
Inventor 冉文方田林海李雯
Owner XIAN CREATION KEJI CO LTD
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