Method and application of applying filters to N-dimensional...

Details Method and application of applying filters to N-dimensional... Method and application of applying filters to N-dimensional...

2008-09-16

2008-09-16

Bella, Matthew C. (Department: 2624)

Image analysis

Image compression or coding

Transform coding

C382S260000, C382S232000

Reexamination Certificate

active

10353078

ABSTRACT:
A Radon transform of the image(s) or array(s); and convolution of the Fourier transform of any 1D filter or mask, e.g., wavelet filters, with a 1D Ram-Lak, or other band-limited filter; convolution of the resultant 1D filters with each of the 1D columns of the 2D Radon transform or projection space version of the image; and an inverse Radon transform of the now omnidirectionally filtered projection space version of the image either directly, or after transmission.

REFERENCES:
patent: 6526175 (2003-02-01), Sodagar et al.
patent: 6768518 (2004-07-01), Bozdagi
patent: 6873721 (2005-03-01), Beyerer et al.
patent: 6898583 (2005-05-01), Rising, III
Kak, A.C. & Slaney, M.,Principles of Computerized Tomographic Imaging, Society for Industrial and Applied Mathematics, Philadelphia, 2001.
Mallat, S.,A Wavelet Tour of Signal Processing, 2ndEdition, Academic Press, New York, 1999.
Meyer, Y.,Wavelets: Algorithms&Applications, Society for Industrial & Applied Mathematics, Philadelphia, 1993.

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