Optimized filter banks for the compression of subtraction angiographic images
M Franz, R Schuffny - … Symposium on Signal Processing and Its …, 2003 - ieeexplore.ieee.org
M Franz, R Schuffny
Seventh International Symposium on Signal Processing and Its …, 2003•ieeexplore.ieee.orgSeveral classes of images contain a clearly determined set of basic signals. This permits the
development of signal-matched filter banks for image compression. A new approach for the
derivation of signal-optimized filter banks using nonlinear optimization is presented here.
Filters optimized with respect to the vessel and background signal of angiographic images
are provided as a design example. Experimental results show that the new filter bank is
competitive with the best biorthogonal wavelets.
development of signal-matched filter banks for image compression. A new approach for the
derivation of signal-optimized filter banks using nonlinear optimization is presented here.
Filters optimized with respect to the vessel and background signal of angiographic images
are provided as a design example. Experimental results show that the new filter bank is
competitive with the best biorthogonal wavelets.
Several classes of images contain a clearly determined set of basic signals. This permits the development of signal-matched filter banks for image compression. A new approach for the derivation of signal-optimized filter banks using nonlinear optimization is presented here. Filters optimized with respect to the vessel and background signal of angiographic images are provided as a design example. Experimental results show that the new filter bank is competitive with the best biorthogonal wavelets.
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