| Título |
Wavelet filter adjusting for image lossless compression using pattern recognition |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
6th Mexican Conference on Pattern Recognition, MCPR 2014 |
| Resumen |
A method for image lossless compression using lifting scheme wavelet transform is presented. The proposed method adjusts wavelet filter coefficients analyzing signal spectral characteristics to obtain a higher compression ratio in comparison to the standard CDF(2,2) and CDF(4,4) filters. The proposal is based on spectral pattern recognition with 1-NN classifier. Spectral patterns of a small fixed length are formed for the entire image permitting thus the global optimization of the filter coefficients, equal for all decompositions. The proposed method was applied to a set of test images obtaining better results in entropy values in comparison to the standard wavelet lifting filters. © 2014 Springer International Publishing. |
| Observaciones |
DOI: 10.1007/978-3-319-07491-7_23 |
| Lugar |
Cancun; Mexico |
| País |
Mexico |
| No. de páginas |
221-230 |
| Vol. / Cap. |
Volume 8495 |
| Inicio |
2014-06-25 |
| Fin |
2014-06-28 |
| ISBN/ISSN |
978-331907490-0 |
