Image analysis – Image enhancement or restoration – Artifact removal or suppression
Reexamination Certificate
2004-06-02
2009-06-02
Bella, Matthew C (Department: 2624)
Image analysis
Image enhancement or restoration
Artifact removal or suppression
Reexamination Certificate
active
07542622
ABSTRACT:
Treatment and mitigation or reduction of noise effects in noisy image data and data sets is described. Various aspects include treatment of noisy data with brushlet transforms and thresholding operations along with a favorable sequence of spatial and temporal processing and thresholding. Hard and minimax thresholding operators mitigate the noise in the image data. In medical applications this can be useful in removing noise that impairs diagnosis and treatment of patient conditions. In one application, cardiac function is better studied and understood through improved imaging of the heart and cardiac structures. In an exemplary case, a favorable sequence including spatial filtering using a brushlet filter, spatial thresholding of brushlet coefficients, then temporal filtering (first in the time domain then in the frequency domain) and thresholding of temporal coefficients yields an acceptable denoised image data set.
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Czerwin
Angelini Elsa D.
Laine Andrew F.
Bella Matthew C
Ge Yuzhen
The Trustees of Columbia University in the City of New York
Wilmer Cutler Pickering Hale and Dorr LLP
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