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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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dc.contributor.author Martí-Campoy, Antonio es_ES
dc.contributor.author López, Otoniel es_ES
dc.contributor.author Rodríguez-Ballester, Francisco es_ES
dc.contributor.author Perez Malumbres, Manuel Jose es_ES
dc.date.accessioned 2016-06-27T09:34:37Z
dc.date.available 2016-06-27T09:34:37Z
dc.date.issued 2015-06-10
dc.identifier.isbn 9783319192581
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/66520
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-19258-1_24 es_ES
dc.description.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 coding has been used to improve image compression. The potential correlation between the sign of a coefficient and the signs of its neighbors opens the possibility to use a sign predictor to improve the image compression process. However, this relationship is not uniform and constant for any image. Typically, image encoders use entropy coding to compact the wavelet coefficients information. This work analyzes the impact of the input parameters over a genetic algorithm that distributes into contexts (sets) the wavelet sign predictors in such a way that the overall aggregate entropy will be reduced as much as possible and a as a consequence higher compression rates can be achieved. es_ES
dc.format.extent 11 es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Advances in Computational Intelligence es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;9094
dc.rights Reserva de todos los derechos es_ES
dc.subject Genetic Algorithm es_ES
dc.subject Wavelets es_ES
dc.subject Image coding es_ES
dc.subject Sign coding es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Applying a Genetic Algorithm Solution to Improve Compression of Wavelet Coefficient Sign es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.1007/978-3-319-19258-1_24
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation 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 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 13th International Work-Conference on Artificial Neural Networks (IWANN 2015) es_ES
dc.relation.conferencedate June 10-12, 2015 es_ES
dc.relation.conferenceplace Palma de Mallorca, Spain es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-319-19258-1_24 es_ES
dc.description.upvformatpinicio 276 es_ES
dc.description.upvformatpfin 286 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 312136 es_ES
dc.description.references Holland, J.: Adaption in Natural and Artificial Systems. University of Michigan Press (1975) es_ES
dc.description.references Goldberg, D.E.: Genetic Algorithms in Search, Optimization, and Machine Learning. Addison-Wesley (1989) es_ES
dc.description.references ISO/IEC 15444–1: JPEG2000 image coding system (2000) es_ES
dc.description.references Shapiro, J.: A fast technique for identifying zerotrees in the EZW algorithm. Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing 3, 1455–1458 (1996) es_ES
dc.description.references Wu, X.: High-order context modeling and embedded conditional entropy coding of wavelet coefficients for image compression. In: Proc. of 31st Asilomar Conf. on Signals, Systems, and Computers, pp. 1378–1382 (1997) es_ES
dc.description.references Taubman, D.: High performance scalable image compression with EBCOT. IEEE Transactions on Image Processing 9(7), 1158–1170 (2000) es_ES
dc.description.references Deever, A., Hemami, S.S.: What’s your sign?: Efficient sign coding for embedded wavelet image coding. In: Proc. IEEE Data Compression Conf., Snowbird, UT, pp. 273–282 (2000) es_ES
dc.description.references Lopez, O., Martinez, M., Piñol, P., Malumbres, M., Oliver, J.: E-ltw: An enhanced ltw encoder with sign coding and precise rate control. In: 2009 16th IEEE International Conference on Image Processing (ICIP) pp. 2821–2824, Nov 2009 es_ES
dc.description.references Schwartz, E.L., Z, A., Boliek, M.: CREW: Compression with reversible embedded wavelets. In: Proc SPIE, pp. 212–221 (1995) es_ES
dc.description.references Deever, A., Hemami, S.S.: Efficient sign coding and estimation of zero-quantized coefficients in embedded wavelet image codecs. IEEE Transactions on Image Processing 12(4), 420–431 (2003) es_ES
dc.description.references Mallat, S., Zhong, S.: Characterization of signals from multiscale edges. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(7), 710–732 (1992) es_ES
dc.description.references Tian, C., Hemami, S.S.: An embedded image coding system baed on tarp filter with classification. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Montreal, Canada, May 2004 es_ES
dc.description.references Morton, G.M.: A computer oriented geodetic data base and a new technique in file sequencing. Technical report, IBM Ltd (1966) es_ES
dc.description.references Riordan, J. In: Introduction to Combinatorial Analysis. Princeton University Press (1958) es_ES


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