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Adaptive texture gradual change prediction method in bandwidth compression

A bandwidth compression and prediction method technology, applied in the field of compression, can solve problems such as small prediction residuals and poor correlation, and achieve the effects of improving accuracy, increasing bandwidth compression rate, and reducing theoretical limit entropy

Active Publication Date: 2019-04-02
XIAN CREATION KEJI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In the existing texture correlation prediction method, for the macroblock (Macro block, referred to as MB) at the texture boundary in the image, since the current MB and the surrounding MB are not in the same texture area, the correlation between the current MB and the surrounding MB is relatively low. Poor, that is, the correlation between the current MB and the surrounding MB cannot be used to obtain a smaller prediction residual

Method used

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  • Adaptive texture gradual change prediction method in bandwidth compression
  • Adaptive texture gradual change prediction method in bandwidth compression
  • Adaptive texture gradual change prediction method in bandwidth compression

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Embodiment 1

[0034] See figure 1 , figure 1 It is a schematic flow chart of an adaptive texture gradient prediction method in bandwidth compression provided by an embodiment of the present invention; this embodiment describes in detail a prediction method provided by the present invention, and the prediction method includes the following steps:

[0035] Step 1. Select N sampling methods to sample the current MB, where the value of N is a natural number greater than 1;

[0036] Step 2. Predict the current MB, and obtain the prediction residual of the current MB;

[0037] Step 3, calculating the residual absolute value sum of the current MB;

[0038] Step 4. Determine the sampling mode of the current MB according to the absolute sum of the residuals.

[0039] Preferably, the sampling method is an equidistant sampling method.

[0040] Wherein, step 2 may include the following steps:

[0041] Step 21. Predict the sampling points of the current MB, and obtain a first prediction residual of...

Embodiment 2

[0052] See figure 2 and image 3 , figure 2 A schematic diagram of a sampling method of an adaptive texture gradient prediction method provided by an embodiment of the present invention; image 3 It is a schematic diagram of an adaptive texture gradient prediction method provided by an embodiment of the present invention. This embodiment describes in detail a prediction method provided by the present invention on the basis of the above embodiments, and the prediction method includes the following steps:

[0053] Step 1. Define the size in MB

[0054] Define the size of MB as m*n pixel components, where m≥1, n≥1;

[0055] Preferably, the size of MB can be defined as 8*1 pixel component, 16*1 pixel component, 32*1 pixel component, 64*1 pixel component; in this embodiment, the size of MB is 16*1 pixel The component is used as an example for illustration, and the same applies to other MBs of different sizes. The pixel components in the MB are arranged sequentially from lef...

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Abstract

The invention relates to an adaptive texture gradual change prediction method in bandwidth compression, which comprises the steps of selecting N sampling modes to sample the current MB (Macro block),wherein N is a natural number greater than 1; predicting the current MB to obtain prediction residuals of the current MB; solving the sum of absolute difference (SAD) of the current MB; and determining the sampling mode of the current MB according to the sum of difference. According to the invention, various sampling modes are adopted for the current MB, and the prediction residuals and the SAD ofthe current MB are obtained. When a compressed image with the texture being complex is processed, for the current MB located on the texture boundary of the current to-be-compressed image, the correlation between the current MB and the surrounding MBs is poor because the current MB and the surrounding MBs are not in the same texture region. According to the gradual change theory of the texture, the prediction residuals are obtained according to texture characteristics of the current MB rather than depend on the surrounding MBs of the current MB, and the accuracy of solving the prediction residuals for a complex texture region can be improved.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to an adaptive texture gradient prediction method in 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. 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. [0003] The goal of the bandwidth compression technology is to increase the compression factor as much as possible with a smaller logic area cost, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04N19/132H04N19/50H04N19/182H04N19/176H04N19/103
CPCH04N19/103H04N19/132H04N19/176H04N19/182H04N19/50
Inventor 罗瑜张莹冉文方
Owner XIAN CREATION KEJI CO LTD
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