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Adaptive Texture Gradient Prediction Method in Bandwidth Compression
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A bandwidth compression and prediction method technology, applied in the field of compression, can solve problems such as poor correlation and small prediction residuals, and achieve the effects of improving accuracy, increasing bandwidth compression rate, and reducing theoretical limit entropy
Active Publication Date: 2021-10-26
XIAN CREATION KEJI CO LTD
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[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
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Embodiment 1
[0046] 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:
[0047] Step 1. Determine the sampling mode of the current MB;
[0048] Step 2, using the sampling method to determine the sampling point of the current MB;
[0049] Step 3. Select a prediction mode to predict the current MB, and obtain the prediction residual of the current MB;
[0050] Step 4, calculating the residual absolute value sum of the current MB;
[0051] Step 5. Determine the prediction mode of the current MB according to the residual absolute value sum.
[0052] Wherein, step 2 may include the following steps:
[0053] Step 21. Determine the sampling point of the current MB by using the pixel value inflection point sampling method...
Embodiment 2
[0079] See figure 2 , figure 2 It is a schematic diagram of an adaptive texture gradient prediction method provided by an embodiment of the present invention. In this embodiment, on the basis of the foregoing embodiments, a prediction method proposed by the present invention is described in detail. The forecasting method includes the following steps:
[0080] Step 1. Define the MB size;
[0081] Define the size of MB as m*n pixel components, where m≥1, n≥1;
[0082] 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.
[0083] like figure 2 As shown, the pixel values of the 16*1 pixel components in the MB are set to 12, 14, 15, 18, 20, 23, 15, 10, 4, 0, 2, 2, 4, 5, 5, 6.
[0084] Step 2. Define the sampling method;
[0085] Step 20...
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Abstract
The present invention relates to an adaptive texture gradient prediction method in bandwidth compression, comprising: determining the sampling mode of the current MB; using the sampling mode to determine the sampling point of the current MB; selecting a prediction mode to predict the current MB, and obtaining The prediction residual of the current MB; calculating the sum of the absolute value of the residual of the current MB; and determining the prediction mode of the current MB according to the sum of the absolute value of the residual. The present invention calculates the prediction residual and SAD of the current prediction macroblock by defining the sampling mode of the MB. Compared with the existing methods, when the texture of the image to be compressed is more complex, for the MB at the texture boundary of the current image, according to the texture gradient principle, it does not depend on the surrounding MB of the current MB, but through the current MB The prediction residual obtained by its own texture characteristics can improve the accuracy of the prediction residual value for complex texture areas, further reduce the theoretical limit entropy, and increase the bandwidth compression rate.
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] With the rapid development and wide application of multimedia technology and network technology, more and more video data are transmitted through the network. Since the original video data requires a huge bandwidth and has great redundancy, the video data is usually encoded and compressed before being transmitted. In this case, the bandwidth compression technology in the chip is used to improve the image quality. The storage space and transmission bandwidth are particularly necessary. [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). Bandwidth compression mainly...
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