Name
Abstract | ||
|---|---|---|
A series of schemes for pyramid multiresolution image coding has been proposed, all of them based on sets of orthogonal functions.
Several of them are implementable in the spatial domain (such as wavelets), whereas others are more suitable for Fourier domain
implementation (as for instance the cortex transform). Gabor functions have many important advantages, allowing easy and fast
implementations in either domain, but are usually discarded by their lack of orthogonality which causes incomplete transforms.
In this paper we quantify such effect, showing a Gaussian Wavelet Transform, GWT, with quasiorthogonal Gabor functions, which allows robust and efficient coding. Our particular GWT is based on a human visual model. Its incompleteness
causes small amounts of reconstruction errors (due to small indentations in the MTF), which, however, are irrelevant under
criteria based on visual perception.
|
Year | DOI | Venue |
|---|---|---|
1991 | 10.1007/BF01937176 | Multidimensional Systems and Signal Processing |
Keywords | Field | DocType |
Gaussian wavelets,Gabor functions,image coding,completeness,space and frequency domains implementations | Discrete mathematics,Mathematical optimization,Harmonic wavelet transform,Gabor wavelet,Fast wavelet transform,Second-generation wavelet transform,Discrete wavelet transform,S transform,Gabor transform,Mathematics,Wavelet | Journal |
Volume | Issue | ISSN |
2 | 4 | 0923-6082 |
Citations | PageRank | References |
10 | 1.91 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rafael Navarro | 1 | 139 | 17.59 |
| antonio tabernero | 2 | 86 | 11.45 |