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Multi-mode Selective Prediction Method for Complex Textures in Bandwidth Compression

A technology of bandwidth compression and prediction method, which is applied in the field of compression, can solve the problems of affecting prediction speed, large amount of calculation, and inaccurate reference of prediction coding, etc., and achieves the reduction of theoretical limit entropy, excellent prediction effect, and better prediction effect Effect

Active Publication Date: 2020-08-11
苏州龙盈软件开发有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] However, when the texture of the image to be compressed is complex and changeable, when the complex texture area of ​​the image to be compressed is predicted according to a fixed prediction mode, the prediction mode used may only be applicable to some areas, but not to other areas. It is not applicable, resulting in the prediction codes in these areas cannot be accurately referenced, resulting in the theoretical limit entropy not being reduced to the maximum extent, and affecting the prediction quality of the prediction module
Using multiple forecasting modes to predict and then selecting the optimal forecasting mode will increase the huge amount of calculations and affect the forecasting speed

Method used

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  • Multi-mode Selective Prediction Method for Complex Textures in Bandwidth Compression

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Embodiment 1

[0051] see figure 1 , figure 1 It is a flowchart of a multi-mode selection prediction method for complex textures in bandwidth compression provided by an embodiment of the present invention. The multi-mode selection prediction method includes the following steps:

[0052] S1. Divide a video image to be encoded into multiple macroblocks, and determine pixel components to be encoded.

[0053] In one embodiment of the present invention, in the video image pixel area to be coded, use C ij Represents the pixel to be encoded, and ij is the position index of the pixel to be encoded. Divide the video image to be encoded into X identical macroblocks MB x , before encoding, encoding prediction will be performed on the X macroblocks one by one. Each macroblock includes a two-dimensional pixel array, M pixels in total, M≥4, such as M=4×4 or M=8×2 or M=16×16 and so on. For the xth macroblock MB x The M pixels in are sequentially numbered as 0, 1, 2, ... m ..., M-1. For example, when ...

Embodiment 2

[0066] see Figure 4 , Figure 4 It is a flow chart of an equidistant sampling prediction method provided by an embodiment of the present invention. The equidistant sampling prediction method in the embodiment of the present invention collects the reconstruction values ​​of some pixels in the current coded macroblock, that is, the sampled pixels, selects reference pixels outside the current coded macroblock to calculate the prediction residual of the sampled pixels, and Sampling pixels are selected inside the coded macroblock as reference pixels, and prediction residuals of non-sampling pixels are estimated. In this embodiment of the present invention, on the basis of Embodiment 1, step S4 further includes the following steps:

[0067] S41. Set multiple equidistant sampling modes, and sample the reconstructed values ​​of the pixel components to be encoded of the pixels in the current coded macroblock according to different sampling intervals, and obtain a value of the curren...

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Abstract

The invention relates to a multi-mode selecting and predicting method for complex textures in bandwidth compression, comprising the following steps of: dividing a to-be-coded video image into a plurality of macro blocks; determining a to-be-coded pixel component; calculating the macro block gradient of the current coding macro block; determining the gradient level of the current coding macro blockaccording to the macro block gradient of the current coding macro block in a gradient-prediction mode lookup table; determining the optimal prediction mode of the current coding macro block accordingto the gradient level; predicting the current coding macro block by using the optimal prediction mode; and calculating a set of optimal prediction residual errors of the current coding macro block. According to the video coding method as compared with the existing methods, a code macro block is coded by a variety of coding methods, the image code compressing rate can be improved for the image coding blocks in different scenes, and the theoretical limit entropy of the compression can be further reduced.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to a multi-mode selection prediction method for complex textures in bandwidth compression. Background technique [0002] With the continuous improvement of the public's demand for video quality, the image resolution of the video has also increased exponentially, so that the data volume of the video image is very large, requiring more storage space and transmission bandwidth. Under such circumstances, it is particularly necessary to use the bandwidth compression technology in the chip to improve the storage space and transmission bandwidth of the image. [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 reduce the occupation of double-rate synchronous dynamic random access memory (Double Data Rate, DDR for short). As an important module of bandwidth compression, the prediction mo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/103H04N19/132H04N19/176H04N19/59
CPCH04N19/103H04N19/132H04N19/176H04N19/59
Inventor 岳庆冬冉文方
Owner 苏州龙盈软件开发有限公司
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