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Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign

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Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign

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Martí-Campoy, A.; López, O.; Rodríguez-Ballester, F.; Pérez Malumbres, MJ. (2015). Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign. En Advances in Computational Intelligence. Springer. 276-286. doi:10.1007/978-3-319-19258-1_24

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/66520

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Title: Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
Discrete Wavelet Transform has been widely used in image compression because it is able to compact frequency and spatial localization of image energy into a small fraction of coefficients. In recent years coefficient sign ...[+]
Subjects: Genetic Algorithm , Wavelets , Image coding , Sign coding
Copyrigths: Reserva de todos los derechos
ISBN: 9783319192581
Source:
Advances in Computational Intelligence. (issn: 0302-9743 )
DOI: 10.1007/978-3-319-19258-1_24
Publisher:
Springer
Publisher version: http://link.springer.com/chapter/10.1007/978-3-319-19258-1_24
Conference name: 13th International Work-Conference on Artificial Neural Networks (IWANN 2015)
Conference place: Palma de Mallorca, Spain
Conference date: June 10-12, 2015
Series: Lecture Notes in Computer Science;9094
Description: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19258-1_24
Type: Capítulo de libro Comunicación en congreso

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