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Prediction method 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

Inactive Publication Date: 2020-05-05
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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  • Prediction method in bandwidth compression
  • Prediction method in bandwidth compression
  • Prediction method in bandwidth compression

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Experimental program
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Effect test

Embodiment 1

[0031] See figure 1 , figure 1 It is a flowchart of a prediction method in bandwidth compression provided by an embodiment of the present invention. The method comprises the steps of:

[0032] 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;

[0033] Step 2. Using a multi-component reference prediction method and a multi-thread block skipping scanning prediction method to predict the multiple MBs to obtain corresponding residual subjective sums;

[0034] Step 3. Determine the final prediction residuals of the multiple MBs according to the subjective sum of the residuals.

[0035] Specifically, step 2 may include the following steps:

[0036] Step 21. Using a multi-component reference prediction method to predict the multiple MBs to obtain a first residual subjective sum;

[0037] Step 22: Predict the multiple MBs by using a multi-threaded block skipping and scanning pred...

Embodiment 2

[0079] This embodiment focuses on explaining the principle and implementation of the present invention on the basis of the foregoing embodiments. Specifically, the prediction method in the bandwidth compression provided by the present invention includes the following steps:

[0080] 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.

[0081] Step 2. Using a multi-component reference prediction method and a multi-thread block skipping scanning prediction method to predict the multiple MBs to obtain a prediction residual corresponding to each pixel component;

[0082] Wherein, the current MB is predicted by using a multi-component reference prediction method to obtain the first prediction residual of each pixel in t...

Embodiment 3

[0095] This embodiment focuses on explaining the principle and implementation of the multi-component reference prediction method in bandwidth compression on the basis of the foregoing embodiments.

[0096] See figure 2 , figure 2 A flow chart of a multi-component reference prediction method in bandwidth compression provided by an embodiment of the present invention, the method includes the following steps:

[0097] Step 1, determining a plurality of pixel components of the current pixel;

[0098] Wherein, the plurality of components may be three components of R, G, and B.

[0099] Step 2. Calculate the pixel difference degrees of multiple components of the current pixel along multiple texture directions to determine the gradient value of the current pixel component;

[0100] In this step, the pixel difference degrees of the R, G, B three components of the current pixel along multiple texture directions are calculated respectively to determine the gradient value of the cur...

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Abstract

The invention relates to a prediction method in bandwidth compression. The prediction method comprises the following steps: dividing an image into a plurality of MBs in the size of m*n, wherein m andn are the row resolution and the column resolution of each MB respectively; predicting the plurality of MBs by adopting a multi-component reference prediction method and a multi-thread skip block scanning prediction method respectively to obtain corresponding residual subjective sums; and determining a final prediction residual error of the plurality of MBs according to the subjective sum of the residual errors. According to the prediction method in bandwidth compression provided by the invention, on the basis of a multi-component reference prediction method and a multi-thread skip block scanning prediction method, the optimal prediction method can be selected through a prediction selection algorithm, and the prediction effect is further optimized for a complex texture image.

Description

technical field [0001] The invention relates to the field of multimedia technology, in particular to a 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. [0003] However...

Claims

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Application Information

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IPC IPC(8): H04N19/103H04N19/176H04N19/182H04N19/42H04N19/50
CPCH04N19/103H04N19/176H04N19/182H04N19/42H04N19/50
Inventor 冉文方田林海李雯
Owner XIAN CREATION KEJI CO LTD
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