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Rate-control algorithms for non-embedded wavelet-based image coding

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Rate-control algorithms for non-embedded wavelet-based image coding

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dc.contributor.author Lopez Granado, Otoniel Mario es_ES
dc.contributor.author Onofre Martinez-Rach, Miguel es_ES
dc.contributor.author Pinol Peral, Pablo es_ES
dc.contributor.author Oliver Gil, José Salvador es_ES
dc.contributor.author Perez Malumbres, Manuel Jose es_ES
dc.date.accessioned 2014-05-16T09:09:06Z
dc.date.issued 2012-08
dc.identifier.issn 1939-8018
dc.identifier.uri http://hdl.handle.net/10251/37515
dc.description.abstract During the last decade, there has been an increasing interest in the design of very fast wavelet image encoders focused on specific applications like interactive real-time image and video systems, running on power-constrained devices such as digital cameras, mobile phones where coding delay and/or available computing resources (working memory and power processing) are critical for proper operation. In order to reduce complexity, most of these fast wavelet image encoders are non-(SNR)-embedded and as a consequence, precise rate control is not supported. In this work, we propose some simple rate control algorithms for these kind of encoders and we analyze their impact to determine if, despite their inclusion, the global encoder is still competitive with respect to popular embedded encoders like SPIHT and JPEG2000. In this study we focus on the non-embedded LTW encoder, showing that the increase in complexity due to the rate control algorithm inclusion, maintains LTW competitive with respect to SPIHT and JPEG2000 in terms of R/D performance, coding delay and memory consumption. © Springer Science+Business Media, LLC 2011 es_ES
dc.description.sponsorship This work was funded by Spanish Ministry of education and Science under grant DPI2007-66796-C03-03. en_EN
dc.format.extent 14 es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Journal of Signal Processing Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Wavelet image coding es_ES
dc.subject Fast image coding es_ES
dc.subject Rate control es_ES
dc.subject Non-embedded coding es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Rate-control algorithms for non-embedded wavelet-based image coding es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1007/s11265-011-0598-6
dc.relation.projectID info:eu-repo/grantAgreement/MEC//DPI2007-66796-C03-03/ES/AQUAVIDEOTRANS: DISEÑO Y EVALUACION DE SISTEMAS DE TRANSMISION Y CODIFICACION DE IMAGEN Y VIDEO EN REDES DE SENSORES SUBACUATICAS/ es_ES
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 Lopez Granado, OM.; Onofre Martinez-Rach, M.; Pinol Peral, P.; Oliver Gil, JS.; Perez Malumbres, MJ. (2012). Rate-control algorithms for non-embedded wavelet-based image coding. Journal of Signal Processing Systems. 68(2):203-216. https://doi.org/10.1007/s11265-011-0598-6 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/article/10.1007/s11265-011-0598-6 es_ES
dc.description.upvformatpinicio 203 es_ES
dc.description.upvformatpfin 216 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 68 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 240161
dc.contributor.funder Ministerio de Educación y Ciencia es_ES
dc.description.references Antonini, M., Barlaud, M., Mathieu, P., & Daubechies, I. (1992). Image coding using wavelet transform. IEEE Transaction on Image Processing, 1(2), 205–220. es_ES
dc.description.references Cho, Y., & Pearlman, W.A. (2007). Hierarchical dynamic range coding of wavelet subbands for fast and efficient image compression. IEEE Transactions on Image Processing, 16, 2005–2015. es_ES
dc.description.references Chrysafis, C., Said, A., Drukarev, A., Islam, A., & Pearlman, W. (2000). SBHP—A low complexity wavelet coder. In IEEE international conference on acoustics, speech and signal processing. es_ES
dc.description.references CIPR: http://www.cipr.rpi.edu/resource/stills/kodak.html . Center for Image Processing Research. es_ES
dc.description.references Davis, P. J. (1975) Interpolation and approximation. Dover Publications. es_ES
dc.description.references Grottke, S., Richter, T., & Seiler, R. (2006). Apriori rate allocation in wavelet-based image compression. In Second international conference on automated production of cross media content for multi-channel distribution, 2006. AXMEDIS ’06 (pp. 329–336). doi: 10.1109/AXMEDIS.2006.12 . es_ES
dc.description.references Guo, J., Mitra, S., Nutter, B., & Karp, T. (2006). Backward coding of wavelet trees with fine-grained bitrate control. Journal of Computers, 1(4), 1–7. doi: 10.4304/jcp.1.4.1-7 . es_ES
dc.description.references ISO/IEC 10918-1/ITU-T Recommendation T.81 (1992). Digital compression and coding of continuous-tone still image. es_ES
dc.description.references ISO/IEC 15444-1 (2000). JPEG2000 image coding system. es_ES
dc.description.references Kakadu, S. (2006). http://www.kakadusoftware.com . es_ES
dc.description.references Kasner, J., Marcellin, M., & Hunt, B. (1999). Universal trellis coded quantization. IEEE Transactions on Image Processing, 8(12), 1677–1687. doi: 10.1109/83.806615 . es_ES
dc.description.references Lancaster, P. (1986). Curve and surface fitting: An introduction. Academic Press. es_ES
dc.description.references Oliver, J., & Malumbres, M. (2001). A new fast lower-tree wavelet image encoder. In Proceedings of international conference on image processing, 2001 (Vol. 3, pp. 780–783). doi: 10.1109/ICIP.2001.958236 . es_ES
dc.description.references Oliver, J., & Malumbres, M. P. (2006). Low-complexity multiresolution image compression using wavelet lower trees. IEEE Transactions on Circuits and Systems for Video Technology, 16(11), 1437–1444. es_ES
dc.description.references Pearlman, W. A. (2001). Trends of tree-based, set partitioning compression techniques in still and moving image systems. In Picture coding symposium. es_ES
dc.description.references Said, A., & Pearlman, A. (1996). A new, fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Transactions on Circuits, Systems and Video Technology, 6(3), 243–250. es_ES
dc.description.references Table Curve 3D 3.0 (1998). http://www.systat.com. Systat Software Inc. es_ES
dc.description.references Wu, X. (2001). The transform and data compression handbook, chap. Compression of wavelet transform coefficients, (pp. 347–378). CRC Press. es_ES
dc.description.references Zhidkov, N., & Kobelkov, G. (1987). Numerical methods. Moscow: Nauka. es_ES


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