Image analysis – Image enhancement or restoration – Artifact removal or suppression
Reexamination Certificate
2005-05-18
2008-11-11
Carter, Aaron W (Department: 2624)
Image analysis
Image enhancement or restoration
Artifact removal or suppression
C382S128000
Reexamination Certificate
active
07450779
ABSTRACT:
This invention relates to a method for de-noising digital radiographic images based upon a wavelet-domain Hidden Markov Tree (HMT) model. The method uses the Anscombe's transformation to adjust the original image to a Gaussian noise model. The image is then decomposed in different sub-bands of frequency and orientation responses using a dual-tree complex wavelet transform, and the HMT is used to model the marginal distribution of the wavelet coefficients. Two different methods were used to denoise the wavelet coefficients. Finally, the modified wavelet coefficients are transformed back into the original domain to get the de-noised image.
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Ferrari Ricardo J.
Winsor Robin
Carter Aaron W
Gowling LaFleur Henderson LLP
Horne D. Doak
Imaging Dynamics Company Ltd.
Lee Brian Y.
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