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Post-selection Prediction Methods in Bandwidth Compression

A prediction method and a technology of bandwidth compression, applied in the multimedia field, can solve problems such as poor image effects and prediction methods that cannot obtain prediction effects, and achieve the effect of optimizing the prediction effect

Active Publication Date: 2021-05-11
XIAN CREATION KEJI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In areas with complex image textures, a single prediction method often cannot obtain the best prediction results, resulting in poor image effects

Method used

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Experimental program
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Embodiment 1

[0055] See figure 1 , figure 1 It is a flowchart of a post-selection prediction method in bandwidth compression provided by an embodiment of the present invention. The method comprises the steps of:

[0056] Step 1, dividing the image into multiple MBs with a size of m×n; wherein, m and n are the row resolution and column resolution of each MB respectively;

[0057] Step 2. Using an adaptive template prediction method and an adaptive texture gradient prediction method to predict the multiple MBs to obtain corresponding residual subjective sums;

[0058] Step 3. Determine the final prediction residuals of the multiple MBs according to the subjective sum of the residuals.

[0059] Specifically, step 2 may include the following steps:

[0060] Step 21. Using an adaptive template prediction method to predict the multiple MBs to obtain the first residual subjective sum;

[0061]Step 22: Predict the multiple MBs using an adaptive texture gradient prediction method to obtain a s...

Embodiment 2

[0096] This embodiment focuses on explaining the principle and implementation of the present invention on the basis of the foregoing embodiments. Specifically, the post-selection prediction method in the bandwidth compression provided by the present invention includes the following steps:

[0097] Step 1. Dividing the image into multiple MBs with a size of m×n; wherein, m and n are the row resolution and column resolution of each MB respectively, that is, each MB contains m×n pixel components; Wherein, the size of each MB can be set arbitrarily, preferably, it can be set as 8×1, 8×2, 16×1, 16×2, 32×1 or 32×2.

[0098] Step 2. Using an adaptive template prediction method and an adaptive texture gradient prediction method to predict the multiple MBs to obtain a prediction residual corresponding to each pixel component;

[0099] Wherein, an adaptive template prediction method is used to predict the current MB to obtain the first prediction residual of each pixel in the current M...

Embodiment 3

[0112] This embodiment focuses on explaining the principle and implementation of the adaptive template prediction method in bandwidth compression on the basis of the foregoing embodiments.

[0113] See figure 2 , figure 2 A flow chart of an adaptive template prediction method provided by an embodiment of the present invention, the method includes the following steps:

[0114] Step 1. Update the adaptive template corresponding to the current MB;

[0115] Step 2. Obtain the prediction residual of the current MB according to the updated adaptive template;

[0116] Step 3. Judging whether all MB prediction residuals have been obtained, if yes, the prediction ends; otherwise, jump to step 1.

[0117] Among them, before step 1, it may also include:

[0118] Step X1, determining the number of epitopes in the adaptive template list and the sequence number of the epitopes;

[0119] Step X2, initializing and filling the adaptive template.

[0120] Among them, step 1 may include: ...

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Abstract

The invention relates to a post-selection prediction method in bandwidth compression, comprising: dividing an image into multiple MBs with a size of m×n; wherein, m and n are the row resolution and column resolution of each MB; The multiple MBs are respectively predicted by using an adaptive template prediction method and an adaptive texture gradient prediction method to obtain corresponding residual subjective sums; and a final prediction residual is determined according to the residual subjective sums. The post-selection prediction method in bandwidth compression provided by the present invention is based on the adaptive template prediction method and the adaptive texture gradient prediction method, and the optimal prediction method can be selected through the prediction selection algorithm, and further optimized for complex texture images predicted effect.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a post-selection prediction method in bandwidth compression. Background technique [0002] The bandwidth compression technology mainly consists of four parts, including: prediction module, quantization module, code control module and entropy coding module. The prediction module, as an important module, uses the spatial redundancy between adjacent pixels to predict the current pixel value according to the adjacent pixel information. The standard deviation of the predicted difference is much smaller than the standard deviation of the original image data. Encoding the predicted difference is more conducive to minimizing the theoretical entropy of the image data and achieving the purpose of improving compression efficiency. At present, the algorithms of the prediction module are mainly divided into two categories, texture-related prediction and pixel value-related prediction. ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/59H04N19/176H04N19/13
CPCH04N19/13H04N19/176H04N19/59
Inventor 张莹罗瑜
Owner XIAN CREATION KEJI CO LTD
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