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Adaptive Texture Gradient Prediction Method in Bandwidth Compression
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A technology of bandwidth compression and prediction method, which is applied in the field of compression and can solve problems such as small prediction residuals and poor correlation
Active Publication Date: 2021-05-18
XIAN CREATION KEJI CO LTD
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[0004] In the existing texture correlation prediction method, for the macroblock (Macroblock, MB for short) 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 poor , that is, the correlation between the current MB and the surrounding MB cannot be used to obtain a smaller prediction residual
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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 present invention relates to a method for predicting adaptive texture gradients in bandwidth compression, comprising: selecting N sampling methods to sample the current MB, wherein the value of N is a natural number greater than 1; predicting the current MB, and obtaining the The prediction residual of the current MB; calculating the sum of the absolute value of the residual of the current MB; and determining the sampling mode of the current MB according to the sum of the absolute value of the residual. The present invention adopts multiple sampling methods for the current MB to obtain the prediction residual and SAD of the current MB. When processing a compressed image with a complex texture, for the current MB at the texture boundary of the current image to be compressed, due to the differences between the current MB and the surrounding MB Not in the same texture area, resulting in a poor correlation between the current MB and surrounding MBs, but the present invention does not depend on the MBs around the current MB based on the texture gradient principle, but obtains the prediction residual through the texture characteristics of the current MB itself, It can improve the accuracy of prediction residual value for complex texture area.
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 ...
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