### Table 1: Filters for biorthogonal wavelets upto order 4. 6 REFERENCES [1] S. G. Mallat. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 11, 1989. [2] M. Vetterli and J. Kovacevic. Wavelets and Subband Coding. Prentice Hall, 1995. [3] G. Battle. A block spin construction of ondelettes, part 1: Lemarie functions. Commn. Math. Physics, 110, 1987. [4] I. Daubechies. Ten lectures on wavelets. Springer Verlag, Pennsylvania, 1992. [5] C. de Boor. A Practical Guide to Splines. Springer Verlag, 1978.

1996

Cited by 1

### Table 1 Classification results for different individual multiresolution description (%) Test dataset Multiresolution methods Number of features

2005

"... In PAGE 6: ... 50 % of the total samples are used for training and the rest are used for testing. The classification results for the four multiresolution decompositions on the three datasets are presented in Table1 . For the dyadic wavelet transform, the texture image regions are decomposed with 3 levels, and db1, db4, db8, coif1, and coif4 basis are used.... In PAGE 6: ... For the steerable pyramid, the decomposition filters are sp0filters, sp1filters, sp3filters and sp5filters. From Table1 , we can see that for the first two datasets, the Gabor wavelet with 6 scales and 6 orientations achieves the highest accuracy. The steerable pyramid with sp5filters follows it.... In PAGE 7: ...6.58 92.63 82.64 The number of features for all the setups is also shown in Table1 . From the table, we can see that the Gabor wavelet has the largest number of features, compared to the other three methods.... ..."

Cited by 2

### Table 1: Curve multiresolution: Africa

"... In PAGE 7: ... We have developed a simple algorithm for that conversion. Table1 lists the dimensions of the domain, the number of control points stored (spatial indices of I) and the number of defined nodes (same order of magnitude as the Node-Collection G) for each resolution level. The number of coefficients in the wavelet transform of Africa (Africa in the lowest resolution level plus all the detail data produced in the decomposition process) is 27116, 22.... ..."

### Table 2: Wavelet-based multiresolution analysis

Cited by 2

### Table 1. Timing comparison of wavelet and reverse-subdivision multiresolution methods for curves of different sizes using cubic B-spline schemes. Both the global and local implementations of Samavati and Bartels11,10 achieve significantly faster times than Finkelstein and Salesin.19

2004

"... In PAGE 18: ... While both approaches have linear-time algo- rithms for decomposition and reconstruction, in practice the reverse subdivision approach is much faster. Table1 shows the average result of several timing runs for a full decomposition and reconstruction of curves with 35, 8195, and 32771 points. We find the global method to be almost six times faster and the local method almost nine times faster.... ..."

Cited by 2

### Table 1. Wavelet Packet Decomposition Tree

1997

"... In PAGE 4: ... Our tree structure is closer to the critical band structure than the decomposition tree used in [6]. Table1 shows the relationship between the designed WP decomposition tree and the real critical bands. This tree separates the wideband audio signal into 38 subbands.... ..."

Cited by 1

### Table 4.1 Multi-resolution wavelet-based image registration algorithm (one transformation only)

### Table 1. Classification results with the test database Wavelet and Level of Distance functions

"... In PAGE 4: ... Table1 indicates the classification results over the test sets using the minimum distance classifier as described in the previous section. The overall classification results were obtained by averaging the results over the 20 different partitions of the data set into sample and test sets.... In PAGE 4: ... A performance index of 100% indicates a perfect classification. The first observation to Table1 is that the DMWT methods always outperform the DWT, which is consistent with our expectation. It can be seen that multiresolution decomposition with two or three levels is superior to with one level only .... In PAGE 4: ... A comparison of the results between several different distance metrics indicates that Euclidean distance has the worst performance and the other three distance measures perform well with similar performance. Table1 also indicates that the different multiwavelets give a similar performance. ... ..."

### Table I. Properties of Rabbit and Dragon Models Used in Multiresolution Experimentsa Model Tetra Face Vertex, n jDomainj jM(l)j MB

2003

Cited by 22