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Adaptive template prediction method for bandwidth compression

An adaptive template and bandwidth compression technology, applied in the field of compression, can solve the problems of poor image texture correlation, reduction of theoretical limit entropy, affecting the quality of prediction modules, etc., to increase bandwidth compression rate, improve accuracy, and reduce theoretical limit entropy. Effect

Active Publication Date: 2019-04-02
嘉兴奥腾电子科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] However, when the texture of the image to be compressed is complex and changeable, when predicting the complex texture area of ​​the image to be compressed, the correlation between the image textures is often poor, and the predictive coding cannot get accurate references, resulting in the theoretical limit entropy. The reduction of maximization affects the quality of the prediction module

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  • Adaptive template prediction method for bandwidth compression
  • Adaptive template prediction method for bandwidth compression
  • Adaptive template prediction method for bandwidth compression

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Embodiment 1

[0031] See figure 1 , figure 1 A flow chart of an adaptive template prediction method provided by an embodiment of the present invention, the method includes the following steps:

[0032] Step 1. Create an adaptive template list;

[0033] Step 2, updating the adaptive template list according to the MB reconstruction value of the adjacent reference direction of the current MB;

[0034] Step 3. Perform adaptive prediction according to the adaptive template list to obtain candidate reconstruction values ​​of the current MB;

[0035] Step 4. Perform adaptive texture prediction according to the candidate reconstruction value to obtain reference pixels of the current MB;

[0036] Step 5. Calculate the prediction residual of the current MB according to the reference pixels.

[0037] Specifically, step 1 may include:

[0038] Step 11, defining the number of epitopes and the epitope serial number of the self-adaptive template list; wherein, the smaller the epitope serial number, t...

Embodiment 2

[0054] See figure 2 , figure 2 It is a schematic diagram of an adaptive template list provided by an embodiment of the present invention. In this embodiment, another adaptive template proposed by the present invention is described in detail on the basis of the above-mentioned embodiments. The establishment of the adaptive template includes the following steps:

[0055] Step 1. Define a list of adaptive templates

[0056] Step 11, defining the number of epitopes and the epitope serial number of the self-adaptive template list; wherein, the smaller the epitope serial number, the higher the priority;

[0057] Step 12, initialize and populate the adaptive template list.

[0058] Preferably, the number of epitopes in the adaptive template list can be defined as 4, 8, 16 or 32; taking the number of epitopes as 8 as an example, the epitope numbers are arranged in order from 0 to 7, and the smaller the number , the higher the priority, a set of reconstructed values ​​for one MB ...

Embodiment 3

[0071] This embodiment describes in detail another adaptive template prediction method proposed by the present invention on the basis of the above embodiments; please refer to image 3 , image 3 It is a flow chart of another prediction method for an adaptive template provided by an embodiment of the present invention. The forecasting method includes the following steps:

[0072] Step 1. Update the adaptive template list corresponding to the current MB

[0073] Step 2. Adaptive prediction

[0074] Specifically, perform adaptive texture prediction on the pixel value of the current MB and the MB reconstruction value in the adaptive template list to obtain reference pixels, see Figure 4 , Figure 4 A schematic diagram of adjacent reference pixels for adaptive texture prediction provided by an embodiment of the present invention; including:

[0075] a. If the ABS (D-E) is the smallest, that is, 135-degree texture, then the reference pixel is pixel A;

[0076] b. If the ABS ...

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Abstract

The invention relates to an adaptive template prediction method for bandwidth compression, which comprises the steps of 1, defining the epitope quantity and epitope serial numbers of an adaptive template; 2, updating the adaptive template list according to MB reconstruction values of adjacent reference directions of the current MB (Macro block); 3, carrying out adaptive texture prediction on the current MB and the MB reconstruction values in the adaptive template list to obtain prediction residuals of the current MB; and 4, judging whether all MB prediction residuals are obtained or not, if so, ending the prediction, otherwise, jumping to the step 2. The predicted pixel value of the current micro block is calculated through defining the adaptive template. Compared with the existing method,the adaptive template prediction method can improve the accuracy of solving prediction residuals for a complex texture region, thereby further reducing the theoretical limit entropy, and improving the bandwidth compression rate.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to an adaptive template prediction method for bandwidth compression. Background technique [0002] Today, with the rapid development of communication technology, multimedia has been integrated into people's life and work. With the transformation of video from analog to digital, people also have higher and higher requirements on the clarity, fluency and real-time of video quality. Video compression technology has become an important link to solve this problem. The amount of digital video information is huge, and it will occupy a huge storage space and channel bandwidth, which restricts the expansion of the video communication industry. In a channel with limited bandwidth, using compression coding technology to reduce the amount of transmitted data is an important means to improve communication speed. Judging from the current status and future development trend of multimedia com...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/50H04N19/182H04N19/48
CPCH04N19/182H04N19/48H04N19/50
Inventor 罗瑜张莹冉文方
Owner 嘉兴奥腾电子科技有限公司
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