Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images

We present a lossless compressor for multispectral images that combines two classical tools: wavelets and neural networks. Due to their huge dimensions, images are split into small blocks and the wavelet transform that maps integers to integers is applied to each block -and each band- to decorrelate...

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Detalles Bibliográficos
Autores principales: Acevedo, D.G., Ruedin, A.M.C., Seijas, L.M.
Formato: CONF
Materias:
Lossless compression
Multispectral images
Neural networks
Prediction
Computation theory
Image compression
Integer programming
Wavelet transforms
Arithmetic coder
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0277786X_v6683_n_p_Acevedo
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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