In conventional wavelet transforms, prefiltering is not necessary due to the lowpass property of a scaling function. This is no longer true for multiwavelet transforms. A novel adaptive multiwavelet prefilter is presented which is designed to overcome this problem. Simulation results show that the approximation accuracy of the prefiltering algorithm is satisfactory.
References
-
-
1)
-
V. Strela ,
P.N. Heller ,
G. Strang ,
P. Topiwala ,
C. Heil
.
The application of multiwavelet filterbanks to image processing.
IEEE Trans. Image Process.
-
2)
-
X.G. Xia ,
J.S. Geronimo ,
D.P. Hardin ,
B.W. Suter
.
Design of prefilters fordiscrete multwavelet transforms.
IEEE Trans.
,
25 -
35
-
3)
-
Heller, P.N.: `Multiwavelet filter banks for data compression', Proc. IEEE ISCAS, 1995.
-
4)
-
Cohn ,
I. Daubechies ,
G. Plonka
.
Regularity of refinable function vectors.
J. Fourier Anal. Appl.
,
295 -
324
-
5)
-
Q. Jiang ,
Z. Shen
.
On existence and weak stability of matrix refinable functions.
Constr. Approx.
-
6)
-
G. Plonka
.
Approximation order provided by refinable function vectors.
Constr. Approx.
,
221 -
224
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