Image compression with matrix detail estimation

This paper proposes a low complexity image compression algorithm using a two-dimensional discrete wavelet transform, DWT, and the estimation of the matrices detail, using a 2D-adaptive RLS filter. The reconstructed image will be synthesized by using the estimated detail matrices and information matr...

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Main Authors: Urbano-Sanchez, E., Perez-Meana, H., Nakano-Miyatake, M.
Format: Conference Proceeding
Language:English
Subjects:
Computational complexity
Data communication
Discrete wavelet transforms
Filters
Fractals
Image coding
Image reconstruction
Image storage
Resonance light scattering
Transform coding
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creator Urbano-Sanchez, E.
Perez-Meana, H.
Nakano-Miyatake, M.
description This paper proposes a low complexity image compression algorithm using a two-dimensional discrete wavelet transform, DWT, and the estimation of the matrices detail, using a 2D-adaptive RLS filter. The reconstructed image will be synthesized by using the estimated detail matrices and information matrix provided by the information matrix of the 2D DWT. Evaluation results show that proposed algorithm provides a similar performance that more sophisticated wavelet based image compression algorithms with much less computational complexity.
doi_str_mv 10.1109/MSMW.2004.1346245
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computational complexity
Data communication
Discrete wavelet transforms
Filters
Fractals
Image coding
Image reconstruction
Image storage
Resonance light scattering
Transform coding
title Image compression with matrix detail estimation
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