Small wave domain movement estimating method based on optimum re-establishing filter method
A technology of motion estimation and wavelet domain, which is applied in TV, electrical components, digital video signal modification, etc., can solve the problems of limiting practical application, many storage units, and high calculation amount
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[0033] Suppose two input signals x 1 [n],x 2 [n], there is the following relationship x 2 [n]=x 1 [n-l]. After the wavelet transform, the corresponding low-frequency and high-frequency signals at all levels can be obtained, as shown in Figure 6. where x 1 (j) [n] and x 2 (j) [n] represents the j-th low-frequency signal (j represents the wavelet transform level), c 1 (j) [n] and c 2 (j) [n] represents the jth level wavelet high-frequency signal. will c 1 (j) [n],c 2 (j) [n] After 2 times upsampling and two sets of special OSHF filters, the corresponding high-frequency reconstruction signal y can be obtained 1 (j) [n],y 2 (j) [n].
[0034] to make y 1 (j) [n],y 2 (j) [n] has displacement invariance, and they need to satisfy the following relationship in the Z transform domain
[0035] Y 2 ( j ) ( z ) = ...
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