Hilbert encoding and decoding method under data skew distribution
A decoding method and encoding technology, applied in the field of image storage, can solve the problem of not considering the influence of data skew distribution on encoding and decoding efficiency, and achieve the effect of reducing the number of iterations
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[0056] Embodiment 1: as Figure 1-3 As shown, a Hilbert encoding and decoding method under skewed data distribution, specifically:
[0057] Hilbert curve state view construction phase:
[0058] Step 110: if figure 1 , the first-order Hilbert curve divides the entire space into 4 regions of 2×2, and each region is called a cell, and each cell has a corresponding physical coordinate (composed of abscissa and ordinate) and Hilbert code; the lower left, The physical coordinates corresponding to the upper left, upper right, and lower right cells are (0,0), (0,1), (1,1), (1,0); the first-order Hilbert curve has four basic states: state 0 (opening downward), state 1 (opening to the left), state 2 (opening upward), state 3 (opening to the right), in this patent, state 0 is the initial state.
[0059] Step 120: if figure 1 , in the four states, the first-order codes corresponding to the first-order physical coordinates (0,0), (0,1), (1,1), and (1,0) in the state view PC are: state ...
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