A Prediction Method Based on Video Compression
A prediction method and video compression technology, applied in the fields of digital video signal modification, image communication, electrical components, etc., can solve problems such as the selection of the adaptability of the image to be compressed, affect the compression quality of the image to be compressed, etc., and reduce the theoretical limit entropy, Improved prediction, improved compression quality
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Embodiment 1
[0067] See figure 1 , figure 1 It is a schematic flowchart of a prediction method based on video compression provided by an embodiment of the present invention. The forecasting method includes the following steps:
[0068] Setting the size of the MB (Macro Block, macro block) to be predicted is m*n, wherein, m and n are natural numbers greater than zero;
[0069] Predicting the MB to be predicted by using a first prediction mode, and determining a first prediction residual of the MB to be predicted;
[0070] Predict the to-be-predicted MB by using a second prediction mode, and determine a second prediction residual of the to-be-predicted MB;
[0071] respectively obtaining the first standard deviation corresponding to the first prediction mode and the second standard deviation corresponding to the second prediction mode;
[0072] Determine the final prediction mode of the MB to be predicted according to the first prediction residual, the first standard deviation, the secon...
Embodiment 2
[0091] See figure 2 , figure 2 It is a schematic diagram of an adaptive template of an adaptive prediction method provided by an embodiment of the present invention. The establishment of the template includes the following steps:
[0092] Step 1. Define the number of adaptive template lists;
[0093] The number of epitopes in the self-adaptive template can be 4, 8, 16 or 32; the present invention takes the number of epitopes as 16 as an example, and the same is true for other numbers of epitopes. The number of epitopes in the adaptive template is 16, and the epitope numbers are arranged in order from 0 to 15. The smaller the number, the higher the priority. Each epitope records a set of reconstruction values of one MB. The size of MB can be set as m*n, wherein, m and n are natural numbers greater than zero. In this embodiment, the size of MB is 16*1 as an example, that is, the size of each MB is 16*1 pixels, that is There are 16 reconstruction values per MB.
[0094...
Embodiment 3
[0112] See image 3 , image 3 It is a schematic diagram of an adaptive template of another adaptive prediction method provided by an embodiment of the present invention. The establishment of the template includes the following steps:
[0113] Step 1. Define the number of template lists;
[0114] Define the number of adaptive template epitopes as 4, 8, 16 or 32. The present invention is illustrated by taking the number of adaptive template epitopes as 8 as an example, and the same applies to other numbers of adaptive template epitopes. For the adaptive template epitopes whose number is 8, the epitope numbers are arranged in order from 0 to 7, the smaller the sequence number, the higher the priority, and each epitope records a set of reconstruction values of one MB. The size of the MB can be set. In this embodiment, the size of 8*2 is taken as an example, that is, the size of each MB is 8*2 pixels, that is, each MB has 8*2 reconstruction values.
[0115] Step 2. Update t...
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