Prediction of coefficients for lossless compression of multispectral images
We present a lossless compressor for multispectral Landsat images that exploits interband and intraband correlations. The compressor operates on blocks of 256 × 256 pixels, and performs two kinds of predictions. For bands 1, 2, 3, 4, 5, 6.2 and 7, the compressor performs an integer-to-integer wavele...
Guardado en:
Autores principales: | Ruedin, A.M.C., Acevedo, D.G. |
---|---|
Formato: | CONF |
Materias: | |
Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_0277786X_v5889_n_p1_Ruedin |
Aporte de: |
Ejemplares similares
-
Prediction of coefficients for lossless compression of multispectral images
por: Ruedin, Ana María Clara, et al.
Publicado: (2005) -
Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images
por: Acevedo, D.G., et al. -
Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images
por: Acevedo, Daniel G., et al.
Publicado: (2007) -
A class-conditioned lossless wavelet-based predictive multispectral image compressor
por: Ruedin, A., et al. -
A class-conditioned lossless wavelet-based predictive multispectral image compressor
por: Ruedin, Ana María Clara, et al.
Publicado: (2010)