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SUBBAND COEFFICIENT PREDICTION WITH PATTERN RECOGNITION TECHNIQUES
SUBBAND COEFFICIENT PREDICTION WITH PATTERN RECOGNITION TECHNIQUES
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机译:模式识别技术的子带系数预测
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摘要
The present invention provides a method and an apparatus for estimating the upper frequency band coefficients solely from low frequency information in a subband multiresolution decomposition. The HL subband coefficients (500) and the LH subband coefficients (502) are predicted from the LL coefficients (504). The predicted values of the HL subband coefficients (500) and LH subband coefficients (502) are then used to predict the HH subband coefficients (506). Within the prediction of each subband, an algorithm performs a separation step isolating significant coefficients and effectively neglecting insignificant coefficients. Significant coefficients have the sign and magnitude of their values estimated by a neural network. The process is carried out recursively over each level of a pyramidal decomposition.
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