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Abstract:

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 it. In order to increase even more the compression rates achieved by the wavelet transform, coefficients in the two finest scales are predicted by means of neural networks, which use causal information (ie, coefficients already coded) to get nonlinear estimates. In this work, we add coefficients from other spectral bands to compute the prediction, besides those coefficients belonging to the same band, which lie in a causal neighbourhood. The differences are then coded with a context based arithmetic coder. Several options regarding initialization, training and architecture of the neural networks are analyzed. Comparison results with other lossless compressors (with respect to the coding time and the bitrates achieved) are given.

Registro:

Documento: Conferencia
Título:Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images
Autor:Acevedo, D.G.; Ruedin, A.M.C.; Seijas, L.M.
Ciudad:San Diego, CA
Filiación:Departamento de Computación, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, Argentina
Departamento de Computación, FCEyN, Ciudad Universitaria, Pab. I, CP 1428, Ciudad de Buenos Aires, Argentina
Palabras clave:Lossless compression; Multispectral images; Neural networks; Prediction; Computation theory; Image compression; Integer programming; Wavelet transforms; Arithmetic coder; Multispectral images; Neural networks
Año:2007
Volumen:6683
DOI: http://dx.doi.org/10.1117/12.734516
Título revista:Satellite Data Compression, Communications, and Archiving III
Título revista abreviado:Proc SPIE Int Soc Opt Eng
ISSN:0277786X
CODEN:PSISD
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0277786X_v6683_n_p_Acevedo

Referencias:

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Citas:

---------- APA ----------
Acevedo, D.G., Ruedin, A.M.C. & Seijas, L.M. (2007) . Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images. Satellite Data Compression, Communications, and Archiving III, 6683.
http://dx.doi.org/10.1117/12.734516
---------- CHICAGO ----------
Acevedo, D.G., Ruedin, A.M.C., Seijas, L.M. "Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images" . Satellite Data Compression, Communications, and Archiving III 6683 (2007).
http://dx.doi.org/10.1117/12.734516
---------- MLA ----------
Acevedo, D.G., Ruedin, A.M.C., Seijas, L.M. "Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images" . Satellite Data Compression, Communications, and Archiving III, vol. 6683, 2007.
http://dx.doi.org/10.1117/12.734516
---------- VANCOUVER ----------
Acevedo, D.G., Ruedin, A.M.C., Seijas, L.M. Prediction of wavelet transform coefficients using neural networks applied to lossless compression of multispectral images. Proc SPIE Int Soc Opt Eng. 2007;6683.
http://dx.doi.org/10.1117/12.734516