Estimating the probability law of the codelength as a function of the approximation error in image compression
| dc.creator | Malgouyres, Francois | |
| dc.date | 2006-10-20 | |
| dc.date.accessioned | 2026-07-07T09:24:27Z | |
| dc.date.available | 2026-07-07T09:24:27Z | |
| dc.description | After a recollection on compression through a projection onto a polyhedral set (which generalizes the compression by coordinates quantization), we express, in this framework, the probability that an image is coded with $K$ coefficients as an explicit function of the approximation error. | |
| dc.identifier | https://arxiv.org/abs/math/0610623 | |
| dc.identifier | http://arxiv.org/abs/math/0610623 | |
| dc.identifier | Comptes Rendus de l'Académie des sciences, série mathématiques 344, 9 (2007) 607-610 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/156099 | |
| dc.subject | Optimization and Control | |
| dc.subject | 49-02;52B99;41-02 | |
| dc.title | Estimating the probability law of the codelength as a function of the approximation error in image compression | |
| dc.type | text |