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Post-selection prediction method in bandwidth compression

A prediction method and bandwidth compression technology, which are applied in the multimedia field, can solve the problems of poor image effect, and the prediction method cannot obtain the prediction effect, so as to achieve the effect of optimizing the prediction effect.

Active Publication Date: 2019-04-12
XIAN CREATION KEJI CO LTD
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  • Summary
  • Abstract
  • Description
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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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  • Post-selection prediction method in bandwidth compression
  • Post-selection prediction method in bandwidth compression
  • Post-selection prediction method in bandwidth compression

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Embodiment 1

[0061] 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:

[0062] Step 1. Divide the image into multiple MBs of the same size;

[0063] Step 2. Using a complex texture adaptive prediction method to predict the current MB to obtain the first residual subjective sum of the current MB;

[0064] Step 3. Predict the current MB by using a multi-directional prediction method of 4-block skipping and scanning to obtain the second residual subjective sum of the current MB;

[0065]Step 4. Determine a final prediction residual for each pixel in the current MB according to the first residual subjective sum and the second residual subjective sum.

[0066] Wherein, the execution sequence of step 2 and step 3 may be determined according to actual needs, for example, step 3 may be executed first and then step 2 may be executed.

[0067] Specificall...

Embodiment 2

[0115] This embodiment focuses on explaining the principle and implementation of the complex texture adaptive prediction method on the basis of the foregoing embodiments.

[0116] See figure 2 , figure 2 A schematic diagram of complex texture adaptive prediction and reconstruction pixel reference in bandwidth compression provided by an embodiment of the present invention. The adaptive prediction method includes the following steps:

[0117] Step 1. Define reconstruction pixels;

[0118] Define the current pixel as Cij, select K coded reconstructed pixels around the current pixel, and number the coded K reconstructed pixels, and the numbering order can be specified, where K≥1.

[0119] Wherein, the reconstructed pixel component refers to a pixel component obtained by decompressing and reconstructing a compressed image, and the pixel value of the reconstructed pixel component is usually called a reconstructed value.

[0120] Preferably, the serial number of the current pix...

Embodiment 3

[0140] See image 3 , image 3 Another schematic diagram of complex texture adaptive prediction and reconstruction pixel reference in bandwidth compression provided by an embodiment of the present invention. On the basis of the above-mentioned embodiments, the present invention illustrates the complex texture adaptive prediction method in bandwidth compression, and the method includes the following steps:

[0141] Step 1. Define reconstruction pixels;

[0142] Define the current pixel as Cij, select K encoded reconstructed pixels around the current pixel Cij, and number the encoded K reconstructed pixels, and the numbering sequence can be specified, where K≥1.

[0143] Preferably, the coded K reconstructed pixels are numbered, and the numbers are sorted from top to bottom and from left to right, and the sequence numbers are arranged from 0 to K-1.

[0144] In this embodiment, 17 reconstructed pixels around the current pixel Cij are taken as an example. The same applies to o...

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Abstract

The invention relates to a post-selection prediction method in bandwidth compression. The post-selection prediction method in bandwidth compression comprises the following steps: dividing an image into a plurality of MBs with the same size; predicting a current MB by using a complex texture adaptive prediction method to obtain a first residual subjective sum of the current MB; predicting the current MB by using a 4-block block skip scan multi-directional prediction method to obtain a second residual subjective sum of the current MB; and determining a final prediction residual of each pixel inthe current MB according to the first residual subjective sum and the second residual subjective sum. The post-selection prediction method in bandwidth compression provided by the invention is based on the complex texture adaptive prediction method and the 4-block block skip scan multi-direction prediction method, and an optimal prediction method can be selected through the prediction selection algorithm, which further optimizes the prediction effect of the complex texture images.

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 Applications(China)
IPC IPC(8): H04N19/176H04N19/182H04N19/42H04N19/50
CPCH04N19/176H04N19/182H04N19/42H04N19/50
Inventor 李雯田林海
Owner XIAN CREATION KEJI CO LTD
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