Abstract
This paper introduces a new class of bases, called bandelet bases, which decompose the image along multiscale vectors that are elongated in the direction of a geometric flow. This geometric flow indicates the direction in which the image grey levels have regular variations. The image decomposition in a bandelet basis is implemented with a fast subband filtering algorithm. Bandelet bases lead to optimal approximation rates for geometrically regular images. For image compression, the bandelet basis geometry is optimized with a fast best basis algorithm. Comparisons are made for image compression with wavelet bases.
| Original language | English |
|---|---|
| Pages (from-to) | 1273-1286 |
| Number of pages | 14 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5150 II |
| DOIs | |
| Publication status | Published - 1 Oct 2003 |
| Event | Visual Communications and Image Processing 2003 - Lugano, Switzerland Duration: 8 Jul 2003 → 11 Jul 2003 |
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