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Hierarchical Motion Estimation Using Candidate Vector and Re-synthesis of Eigenvalues in Wavelet Transform Domain
Hierarchical Motion Estimation Using Candidate Vector and Re-synthesis of Eigenvalues in Wavelet Transform Domain
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机译：小波变换域中基于候选矢量的层次运动估计和特征值的重新合成
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摘要
The present invention relates to a method for hierarchical motion estimation through sub-image recombination and candidate vectors using a wavelet transform property having a multi-resolution structure.;The present invention estimates a motion vector from a plurality of candidate vectors to a vector having a minimum distortion for wavelet transformed low-frequency sub-image of the highest hierarchical layer, and transforms the estimated motion vector into a low- The motion compensated image is combined with the high frequency sub-image of the layer to perform inverse wavelet transform, and the combined sub-image is transformed to a low frequency sub-image of the corresponding layer of the original image using a plurality of candidate vectors The above process is applied in the same manner as that of estimating a motion vector for a synthesized image and the above process is repeated until the synthesized sub-image has the same resolution as the original image.;The present invention improves the disadvantages of a large amount of computation, a large number of bits, an accumulation of errors, and the like, which are problematic when using the conventional motion estimation method, and accurate motion vector estimation is possible.
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