| 摘要 |
A method and an apparatus for estimating the upper frequency band coefficients solely from low frequency information in a subband multiresolution decomposition. In operation, a Bayesian classifier predicts the significance or insignificance of a high frequency signal, then a neural network estimates the sign and magnitude of the visually significant information and effectively eliminates insignificant information. Finally an algorithm estimates upper frequencies based on lower frequencies within the same band. This estimation is performed recursively for each level of a multiresolution decomposition pyramid until a reconstructed version of the data product is returned. |
