27th November 2013

Autor

What is this blank space?

Pluma Is mi personal meeting point, where I collect topics related with my job, particularly data structures, Software engineering, Mathematics and teaching. I have also included here a brief portray of my resumé for many reasons, mainly to allow these with shared concerns and interests to contact me.

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5th May 2015

Firing patterns in a random network cellular automata model of the brain

Published paper “Firing patterns in a random network cellular automata model of the brain” (L. Acedo, E. Lamprianidou, J.A. Moraño, J. Villanueva-Oller, R.J. Villanueva) in the Physica A: Statistical Mechanics and its Applications (doi:10.1016/j.physa.2015.05.017)

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20th April 2014

Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)

Published paper “Optimizing strategies for meningococcal C disease vaccination in Valencia (Spain)” (L. Pérez-Breva, R.J. Villanueva, J. Villanueva-Oller, L. Acedo, F. Santonja, J.A. Moraño, R. Abad, J. Vázquez, J. Díez-Domingo) in the BMC Infectious Diseases (doi:10.1186/1471-2334-14-280)

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20th February 2014

Popular Support to Terrorist Organizations: A Short-Term Prediction based on a Dynamic Model applied to a Real Case

Published paper “Popular Support to Terrorist Organizations: A Short-Term Prediction based on a Dynamic Model applied to a Real Case ” (M. Ehrhardt, M. Peco, A. Tarazona, R. Villanueva, J. Villanueva-Oller) in the Mathematical Modeling in Engineering & Social Sciences, ISBN 978-1-63117-339-4, pp. 169-176 (year 2014)

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20th February 2014

RSV Modeling Using Genetic Algorithms in a Distributed Computing Environment Based on Cloud File Sharing

Published paper “RSV Modeling Using Genetic Algorithms in a Distributed Computing Environment Based on Cloud File Sharing” (J. Gabriel Garc?a Caro, Javier Villanueva-Oller, J. Ignacio Hidalgo) in the Mathematical Modeling in Engineering & Social Sciences, ISBN 978-1-63117-339-4, pp. 227-240 (year 2014)

posted in Capítulos de libro, Epidemiología, Investigación, Modelos Matemáticos, Procesamiento distribuido, Publicaciones | Comments Off on RSV Modeling Using Genetic Algorithms in a Distributed Computing Environment Based on Cloud File Sharing

29th October 2013

Pertinence of a change in the meningocococcal C conjugate vaccine schedule in the Region of Valencia, Spain. Mathematical Modeling

Presented communication “Pertinence of a change in the meningocococcal C conjugate vaccine schedule in the Region of Valencia, Spain. Mathematical Modeling” (L. Pérez-Breva, RJ. Villanueva, J. Villanueva-Oller, L. Acedo, FJ. Santonja, JA. Moraño, R. Abad, JA. Vázquez, M. Sastre, J. Díez) in the
7th Vaccine & ISV Congress
Elsevier Ltd
Sitges, Barcelona, España, 27-29/10/2013

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27th September 2013

Epidemic Random Network Simulations in a Distributed Computing Environment

Published paper “Epidemic Random Network Simulations in a Distributed Computing Environment” (J. Villanueva-Oller, L. Acedo, J. A. Moraño, A. Sánchez-Sánchez) in the Abstract and Applied Analysis, vol. 2013, ISSN 1085-3375

Available online at http://www.hindawi.com/journals/aaa/2013/462801/

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21st September 2012

The Neurona@Home project: Simulating a large-scale cellular automata brain

Presented communication “The Neurona@Home project: Simulating a large-scale cellular automata brain” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva-Oller) in the
12th Granada Seminar on Computational and Statistical Physics
Universidad de Granada, Instituto Carlos I
Granada, España, 17-21/09/2012

posted in Congresos, Investigación, Modelos Matemáticos, Procesamiento distribuido, Publicaciones, Sociología | Comments Off on The Neurona@Home project: Simulating a large-scale cellular automata brain

7th September 2012

Modelling the academic performance in Spanish High School: An epidemiological approach with uncertainty

Presented communication “Modelling the academic performance in Spanish High School: An epidemiological approach with uncertainty” (R. Cervelló, J.C. Cortés, J.A. Moraño, J. Villanueva-Oller) in the
Congress of Mathematical Modelling in Engineering & Human Behaviour 2012
IMM – Universivad Politécnica de Valencia
Valencia, España, 04-07/09/2012

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7th September 2012

Forecasting the protection provided by the current vaccination schedule against meningitis C

Presented communication “Forecasting the protection provided by the current vaccination schedule against meningitis C” (L. Acedo, J. Díez-Domingo, J.A. Moraño, L. Pérez-Breva, R.J. Villanueva, J. Villanueva-Oller) in the
Congress of Mathematical Modelling in Engineering & Human Behaviour 2012
IMM – Universivad Politécnica de Valencia
Valencia, España, 04-07/09/2012

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20th December 2011

The Effect of the Spanish Law of Political Parties (LPP) on the attitude of the Basque Country population towards ETA: A dynamic modelling approach

Publised paper “Random Networks to study the dynamics of respiratory syncitial virus (VRS) in the Spanish region of Valencia” (M. Peco, F.J. Santonja, A.C. Tarazona, R.J. Villanueva, J. Villanueva-Oller) in the Mathematical and Computer Modelling #57

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20th October 2011

Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia

Published paper “Using random networks to study the dynamics of respiratory syncytial virus (RSV) in the Spanish region of Valencia” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva-Oller), in the Mathematical and Computer Modelling nº 54, ISSN 0895-7177, pp. 1650-1654 (año 2011)

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20th December 2010

Superordenadores virtuales y computación distribuida con BOINC

Published book chapter “Superordenadores virtuales y computación distribuida con BOINC” (D. Martín, J. Villanueva-Oller, M. Alberquilla, I. Contreras, I. Hidalgo) in the Anales de Ingeniería Técnica Informática de Sistemas nº 3, ISBN 978-84-937288-9-2, pp. 1-30 (year 2010). Ed. Felipe II Libros.

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20th December 2010

Seasonal Respiratory Syncytial Virus Epidemic in a Random Social Network

Published paper “Seasonal Respiratory Syncytial Virus Epidemic in a Random Social Network” (J. Díez-Domingo, J. Villanueva-Oller, L. Acevo, R.J. Villanueva, J.A. Moraño) in the Modelling for addictive behaviour, medicine and engineering 2010, ISBN 978-84-693-9537-0, pp. 1-4

posted in Capítulos de libro, Epidemiología, Investigación, Modelos Matemáticos, Publicaciones | Comments Off on Seasonal Respiratory Syncytial Virus Epidemic in a Random Social Network

28th September 2010

Random Networks to study the dynamics of respiratory syncitial virus (VRS) in the Spanish region of Valencia

Presented conference “Random Networks to study the dynamics of respiratory syncitial virus (VRS) in the Spanish region of Valencia” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva Oller) in the
Seventh International Conference on Engineering Computational Technology ECT2010
Civil-Comp Press (Editor)
ECT2010, Valencia, Spain, 14-17/09/2010
ISSN 1759-3433

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26th September 2010

Random Networks in a Distributed Computing Environment: An Approach to the Transmission Dynamics of Epidemic Diseases

Published paper “Random Networks in a Distributed Computing Environment: An Approach to the Transmission Dynamics of Epidemic Diseases” (L. Acedo, J.A. Moraño, R.J. Villanueva, J. Villanueva Oller) in the
Proceedings of the Seventh International Conference on Engineering Computational Technology, CCP 94 , ISSN 1759-3433 (año 2010)

Random networks are emerging in epidemiology as a way of simulation more realistic random contact behaviours. A network is a set of nodes representing individuals. Labels or properties may be assigned to each node, for instance, age, sex, state respect to disease (susceptibility, infection, recovery, etc.). Nodes are connected by ties that represent disease transmission paths. Once the network model and the disease evolution rules are stated, it is possible to simulate the evolution of the network over time and study the effect of disease on the population.

Moreover, random networks provide an easy way of modelling those scenarios where it is required the monitoring of the specific individuals, the design of single or combined vaccination strategies or to control and apply therapies in chosen target groups, something difficult to achieve in continuous models. However, essential aspects in epidemiology like the model fitting with data in order to obtain the transmission rate of a disease in a specific region turns out to be highly complex in computational terms (requiring for an average desktop computer several weeks, months
or even years of calculation time) whereas it is an issue with some valid approaches in continuous models which are able to solve the model in an affordable quantity of time.

In this paper, we present the description of a computational system following the paradigm of distributed computing, which will allow the estimation of parameters in random network epidemic models. This paradigm consists of a server that delivers tasks to be carried out by client computers. When the task is finished, the client sends the obtained results to the server to be stored until all tasks are finished and then, ready to be analysed.

Keywords: random network, distributed computing, epidemic diseases, transmission
dynamics.

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10th September 2010

El proyecto Falúa: computación distribuida mediante BOINC en el Campus de Aranjuez de la UCM

Presented conference “El proyecto Falúa: computación distribuida mediante BOINC en el Campus de Aranjuez de la UCM” (J. Villanueva-Oller, D. Martín, I. Hidalgo, M. Alberquilla, I. Contreras) in the
Congreso Español de Informática 2010 – XXI Jornadas de Paralelismo
Ibergarceta Publicaciones, S.L. (Editor)
CEDI2010, Valencia, España, 08-10/09/2010

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10th July 2010

A network model for the short-term prediction of the evolution of cocaine consumption in Spain in the next few years

Published paper “A network model for the short-term prediction of the evolution of cocaine consumption in Spain in the next few years” (I.C. Lombana, M. Rubio, E. Sánchez, F.J. Santonja, J. Villanueva-Oller), i the Mathematical and Computer Modelling nº 52, ISSN 0895-7177, pp. 1023-1029 (year 2010)

Cocaine consumption is a social problem with acute consequences and its dependency can be regarded as a health concern of social transmission. This fact leads us to develop the idea that its transmission dynamics can be studied using epidemiological mathematical models. Under this point of view, in this paper we propose a network model to study the short-term evolution of the cocaine consumer sub populations. The model parameters are obtained from data source and from an analogue continuous model. Sensitivity of the model parameters is studied. The parameters are associated with prevention and treatment policies and the sensitivity study gives us information about which parameters have more incidence on the future evolution of consumers. Results and discussion are also presented.

Keywords: Cocaine consumption; Network modelling; Short-term predictions; Confidence intervals

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18th January 2010

SVD lossy adaptive encoding of 3-D digital images for ROI progressive transmission

Published paper “SVD lossy adaptive encoding of 3-D digital images for ROI progressive transmission” (I. Baeza, J.A. Verdoy, R.J. Villanueva, J. Villanueva-Oller), in the Image and Vision Computing nº 28, ISSN 0262-8859, pp. 449-457 (year 2010)

In this paper, we propose an algorithm for lossy adaptive encoding of digital three-dimensional (3D) images based on singular value decomposition (SVD). This encoding allows us to design algorithms for progressive transmission and reconstruction of the 3D image, for one or several selected regions of interest (ROI) avoiding redundancy in data transmission. The main characteristic of the proposed algorithms is that the ROIs can be selected during the transmission process and it is not necessary to re-encode the image again to transmit the data corresponding to the selected ROI. An example with a dataset of a CT scan consisting of 93 parallel slices where we added an implanted tumor (the ROI in this example) and a comparative with JPEG2000 are given.

Keywords: 3D digital images Singular value decomposition encoding, Lossy progressive transmission, Region of interest (ROI) transmission

posted in 3D, Investigación, JCR, Publicaciones, Reconstrucción de imagen, SVD - DVS, Transmisión progresiva | Comments Off on SVD lossy adaptive encoding of 3-D digital images for ROI progressive transmission

10th December 2009

Stochastic network modelling of the pressure of extreme groups in a society

Published book chapter “Stochastic network modelling of the pressure of extreme groups in a society” (F.J. Santonja, A.C. Tarazona, R.J. Villanueva, J. Villanueva-Oller), in the Modelling for Medicine, Business and Engineering 2009, ISBN 978-84-692-9972-2, pp. 222-233 (year 2009)

Extreme behaviour is produced by small groups but their actions have an impact in a large amount of people. The fear is the strategy developed by these groups to influence the decisions of the whole population in order to achieve their political goals.

The understanding of the transmission dynamics of such a type of extreme behaviours increases the knowledge of the mechanisms behind the evolution of cultural norms and values. Moreover, it can give us tools to know their evolution a priori, eventually disappearing or getting their objectives.

In this paper we propose a stochastic network mathematical model to study the ideological evolution of a society where an extreme group is present. The model is applied to a real situation. The parameters of the model are fi tted to real data and parameter sensitivity analysis is done using confidence intervals in order to find out what is the eff ect in the change of people’s ideology the changes in the model parameters.

Keywords: Extreme ideologies, Stochastic network modelling, Short-term predictions, Con fidence intervals.

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30th November 2009

ROI-based procedures for progressive transmission of digital images: A comparison

Published paper “ROI-based procedures for progressive transmission of digital images: A comparison” (I. Baeza, J.A. Verdoy, J. Villanueva-Oller, R.J. Villanueva), in the Mathematical and Computer Modelling nº 50, ISSN 0895-7177, pp. 849-859 (year 2009).

Nowadays, problems arise when handling big-sized images (i.e. medical image such as Computed Tomographies or satellite images) of 10, 50, 100 or more Megabytes, due to the amount of time required for transmiting and displaying, being this time even worse when a narrow bandwidth transmission media is involved (i.e. dial-up or mobile network), because receiver must wait until the entire image has arrived. To solve this issue, progressive transmission schemes are used. These schemes allow image sender to enconde the image data in such a way that it is possible for the receiver to perform a reconstruction of the original image since the very beginning of transmission. Despite this reconstruction being, of course, partial, it is possible to improve the reconstruction on the fly, as more and more information of the original image is received. There are many progressive transmission methods available, such as bit planes, TSVQ, DPCM, and, more recently, matrix polynomial interpolation, Discrete Cosine Transform (DCT, used in JPEG) and wavelets (used in JPEG2000). However, none of them are well suited, or perform poorly, when, in addition to progressive transmission, we want to include also ROIs (Region Of Interest) handling. In progressive transmission of ROIs, we want not only yo reconstruct the image as we receive image data, but also be able to select which part or parts of the emerging image we think are relevant and want to receive first, and which part or parts have no interest. In this context we present an algorithm for lossy adaptive encoding based on regular value decomposition (SVD). This algorithm turns out to be well suited for progressive transmission and ROI selection of 2D and 3D images, as it is able to avoid redundancy in data transmission and does not require any sort of data recodification, even if we select arbitrary ROIs on the fly.

Keywords: Adaptive progressive transmission, ROI, Region of Interest, reconstruction, singular value decomposition.

posted in 2D, 3D, Investigación, JCR, Publicaciones, Reconstrucción de imagen, SVD - DVS, Transmisión progresiva | Comments Off on ROI-based procedures for progressive transmission of digital images: A comparison

25th September 2009

Protected: (Español) Defensa de la tesis de José Antonio

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18th October 2008

A comparison of ROI-based procedures for progressive transmission of digital images

Published book chapter “A comparison of ROI-based procedures for progressive transmission of digital images” (I. Baeza, J.A. Verdoy, J. Villanueva-Oller, R.J. Villanueva), Modelling for Engineering and Medicine 2008, ISBN 978-84-691-8345-8, pp. 146-161 (year 2008). Ed. Instituto de Matemática Multidisciplinar.

In this paper we review and compare several progressive transmission schemes capable of Region Of Interest (ROI) handling:

– Discrete Cosine Transform / JPEG
– Wavelets / JPEG2000
– Singular Value Decomposition

posted in 2D, Investigación, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on A comparison of ROI-based procedures for progressive transmission of digital images

18th September 2008

Algoritmo EZW e interpolación matricial en transmisión progresiva adaptativa de imágenes 3D

Published book chapter “Algoritmo EZW e interpolación matricial en transmisión progresiva adaptativa de imágenes 3D” (I. Baeza, J.A. Verdoy, R.J. Villanueva, J. Villanueva-Oller,), Anales de Ingeniería Técnica Informática de Sistemas nº 2, ISBN 978-84-935511-9-3, pp. 87-104 (year 2008). Ed. Felipe II Libros.

Abstract not available in English

posted in 3D, Investigación, Polinomios matriciales, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on Algoritmo EZW e interpolación matricial en transmisión progresiva adaptativa de imágenes 3D

13th September 2008

ROI-based procedures for progressive transmission of digital images: A comparison

Presented conference “ROI-based procedures for progressive transmission of digital images: A comparison” (I. Baeza, C. Mora, J.A. Verdoy, J. Villanueva Oller) in the congress

X Jornadas de Investigación y Fomento de la Multidisciplinariedad
Departamento de Matemática Aplicada, Universidad Politécnica de Valencia.
X JIFM, Valencia, España, 9-12/09/2008.

posted in 2D, Congresos, Investigación, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on ROI-based procedures for progressive transmission of digital images: A comparison

15th October 2007

Cálculo exacto de una matriz de pesos para un aparato TAC de fan-beam. Reconstrucciones ART mediante el algoritmo de Kaczmarz

Published book chapter “Cálculo exacto de una matriz de pesos para un aparato TAC de fan-beam. Reconstrucciones ART mediante el algoritmo de Kaczmarz” (M.J. Rodríguez Álvarez, R.J. Villanueva, J. Villanueva-Oller), in the Anales de Ingeniería Técnica Informática de Sistemas nº 1, ISBN 978-84-935511-2-4, pp. 119-164 (año 2007). Ed. Felipe II Libros.

Abstract not available in English

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14th May 2007

CASANDRA: A prototype implementation of a system of network progressive transmission of medical digital images

Published paper “CASANDRA: A prototype implementation of a system of network progressive transmission of medical digital images” (J. Villanueva-Oller, R.J. Villanueva, S. Díez), in the Computer Methods and Programs in Biomedicine nº 85, ISSN 0169-2607, pp. 152-164, (year 2007). Ed. Elsevier Ireland.

In this paper, a prototype for progressive transmission of medical digital 2D images through the network, called CASANDRA, is presented. The prototype consists of the server part and the client part. In the server part, the images are acquired, stored, computed their wavelet transform and the wavelet coefficients stored, then transmitted progressively, when required, via TCP to the client. In the client part, with the inverse wavelet ransform, the received wavelet coefficients are used to build successive improved reconstructions of the image. This prototype has been implemented and is being tested in the Radiotherapy Service of the Valencia University Hospital (Valencia, Spain).

Keywords Medical images, Network progressive transmission, Radio-diagnostic

posted in 2D, Investigación, JCR, Publicaciones, Reconstrucción de imagen, Transmisión progresiva, Wavelets | Comments Off on CASANDRA: A prototype implementation of a system of network progressive transmission of medical digital images

30th May 2006

SVD and matrix polynomial interpolation for lossy progressive transmission of 3D images

Published paper “SVD and matrix polynomial interpolation for lossy progressive transmission of 3D images” (I. Baeza, J.A. Verdoy, R.J. Villanueva, J. Villanueva-Oller, A.G. Law), in the book Computer Vision and Robotics, ISBN 1-59454-357-7, pp. 27-47 (year 2006). Ed. Nova Science Publishers.

This paper presents a new method for progressive transmission of 3D images that has four components: (1) decomposition of the image into regions using Singular Value Decomposition (SVD), (2) a reconstruction algorithm for progressive rendering that uses matrix polynomial interpolation along with approximations which are derived from SVD, (3) exploitation of a matrix norm for analyzing goodness of approximation, and (4) an optimal adaptive strategy for selecting “the next region to transmit”.

SVD of matrices is used in some areas of image processing, such as restoration, but not usually in transmission. For an image (matrix) of size m × n, its SVD produces an m ×m matrix, an n× n matrix, and a vector of size min {m, n}. That is, the SVD generates more than double the amount of original data. Despite this fact, however, a design of an appropriate adaptive transmission strategy within this four-component procedure provides an algorithm, for lossy progressive transmission, with excellent rendering and computational performance at low percentages of data transmission.

Keywords: Singular Value Decomposition, progressive image transmission, 3D images, progressive image reconstruction

posted in 3D, Investigación, Polinomios matriciales, Publicaciones, Reconstrucción de imagen, SVD - DVS, Transmisión progresiva | Comments Off on SVD and matrix polynomial interpolation for lossy progressive transmission of 3D images

30th May 2005

Progressive Transmission of Images: Adaptive Best Strategies

Published paper “Progressive Transmission of Images: Adaptive Best Strategies” (I. Baeza, J. Villanueva Oller, R.J. Villanueva, A.G. Law), in the Mathematical And Computer Modelling nº 41, ISSN 0895-7177, pp. 1325-1339 (year 2005). Ed. Pergamon-Elsevier.

Two progressive transmission procedures that are adaptive are developed, for any 3-D image which is composed from n, disjoint regions of any type. Each of the two is responsive to both the particular reconstruction process employed at the recipient node and the detail within the image. If some of the regions have already been transmitted, a next from among the remainder can be selected through an individually-best remaining region (IBRR) or a globally-best remaining region (GBRR) strategy. For each, its ordering template need to be determined only once, a priori. GBRR’s sequence information requires considerably more CPU resources to obtain, but the resulting progressive technique can be more effective, as is illustrated using a test set consisting of 93 CT slices (resolution 256 x 256) of a human head. An algorithm is developed for automatically decomposing any 3-D images into regions that are not of the “parallel plane slicing” variety. Then, Experiment 2 illustrates effectiveness of IBRR (and hence, also GBRR) sequencing for a CT phantom, when this non-parallel plane decomposition replaces a parallel plane decomposition of it. Both IBRR and GBRR generalize to the setting of 4-D data sets generated from dynamic MR imaging, for example.

Keywords: progressive transmission of images, Adaptive transmission, 3-D images.

posted in 3D, Investigación, JCR, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on Progressive Transmission of Images: Adaptive Best Strategies

18th August 2004

Progressive Transmission of 3D MR Images: Data- and Transform-Space Strategies

Presented conference “Progressive Transmission of 3D MR Images: Data- and Transform-Space Strategies” (R.A. Brown, I. Baeza, H. Zhu, R.J. Villanueva, J. R. Mitchell, J. Villanueva-Oller, A.G. Law) in the
International Conference on Computing, Communications and Control Technologies: CCCT’04
Universidad de Texas en Austin and the International Institute of Informatics and Systemics (IIIS) (Sponsors)
CCCT’04, Austin, Texas, EEUU, 14-17/08/2004

posted in 3D, Congresos, Investigación, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on Progressive Transmission of 3D MR Images: Data- and Transform-Space Strategies

30th July 2004

Progressive imaging: S-transform order

Published paper “Progressive imaging: S-transform order” (H. Zhu, R.A. Brown, R.J. Villanueva, J. Villanueva Oller, M.L. Lauzon, J.R. Mitchell, A.G. Law), in the Australian & New Zealand Industrial and Applied Mathematics Journal (ANZIAM J), vol. 45 (E), ISSN 1446-1811, pp. C1002-1016 (year 2004). Ed. Australian Mathematical Society.

The paper focuses on progressive transmission of CT or MR images, and introduces two general schemes that are built around information embedded in transforms of images. A direct, a priori ordering of 93, parallel, CT slices of a head is obtained by successively finer sweepings of their natural subscript ordering to give a benchmark illustration. By comparison, an ordering of these CT slices simply by their energies is seen to not provide a viable progressive imaging scheme, at least when an overall, 3D skin level rendering is the gauge employed. To investigate progressive imaging that does not obscure internal detail, two techniques based on transform space information are introduced here, and illustrated in detail with a 128 × 128 MR slice of a head I(x, y). The first uses decreasing size of the moduli of the elements of the Fourier transform F(kx, ky) of I(x, y). The second, a one parameter generalization, exploits the localization feature of the recent S-transform and also provides a capability for an observer to outline a region of interest within the progressive transmission process. Both transform based methods are effective for the specific illustrations included, and the latter opens important research questions for application in analysis, handling or interpretation of the massive data sets arising in magnetic resonance imaging.

Keywords: S-transform, progressive transmission, interpolation, Fourier transform.

posted in 2D, 3D, Congresos, Investigación, JCR, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on Progressive imaging: S-transform order

6th May 2004

Progressive Imaging: a Transform Space Approach

Presented conference “Progressive Imaging: a Transform Space Approach” (Robert A. Brown, Javier Villanueva Oller) in the

SIAM Conference on Imaging Science 2004
SIAM Activity Group on Imaging Science (SIAG/IS) (Sponsor)
Marriot Coty Center, Salt Lake City, Utah, EEUU, 3-5/05/2004.

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25th January 2004

Envío y reconstrucción progresiva de imágenes digitales 3D utilizando interpolación matricial

Presented conference “Envío y reconstrucción progresiva de imágenes digitales 3D utilizando interpolación matricial” (I. Baeza, S. Díez, R.J. Villanueva, J. Villanueva Oller) in the

III Congreso Internacional sobre Métodos Numéricos en Ingeniería y Ciencias Aplicadas
S. Gallegos, I. Herrera, S. Botello, F. Zárate y G. Ayala (Editores)
ITESM, Monterrey, México, 22-24/01/2004.

posted in 3D, Congresos, Investigación, Polinomios matriciales, Publicaciones, Reconstrucción de imagen, Transmisión progresiva | Comments Off on Envío y reconstrucción progresiva de imágenes digitales 3D utilizando interpolación matricial

27th September 2003

Interpolación matricial de Newton para la transmisión progresiva adaptiva de imágenes médicas digitales tridimensionales

Presented conference “Interpolación matricial de Newton para la transmisión progresiva adaptiva de imágenes médicas digitales tridimensionales” (I. Baeza, S. Díez, J. Villanueva Oller, R. Villanueva) in the

V Jornadas de Investigación y Fomento de la Multidisciplinariedad
Departamento de Matemática Aplicada, Universidad Politécnica de Valencia.
V JIFM, Valencia, España, 24-26/09/2003.

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12th July 2003

Progressive transmission of MR images, through energy-ordering in S-transform space

Presented conference “Progressive transmission of MR images, through energy-ordering in S-transform space” (H. Zhu, R.A. Brown, R..J. Villanueva, J. Villanueva Oller, M.L. Lauzon, J.R. Mitchell, A.G. Law) in the

5th International Congress on Industrial and Applied Mathematics
Ross. R. Moore (Editor),
ICIAM, Sydney, Australia, 7-11/07/2003.

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30th July 2002

Matrix Cubic Splines for Progressive 3D Imaging

Published paper “Matrix Cubic Splines for Progressive 3D Imaging” (E. Defez, J. Villanueva Oller, R.J. Villanueva), in the Journal of Mathematical Imaging and Vision, nº 17, ISSN 0924-9907, pp. 41-53 (year 2002). Ed. Springer.

Mathematical theory of matrix cubic splines is introduced, then adapted for progressive rendering of images. 2D subsets of a 3D digital object are transmitted progressively under some rendering scheme, and subsequent reconstructions using the matrix cubic spline algorithm provide an evolving 3D rendering. The process can be an effective tool for browsing three dimensional objects, and effectiveness is illustrated with a test data set consisting of 93 CT slices of a human head. The procedure has been implemented on a single processor PC system, to provide a platform for full 3D experimentation; performance is discussed. A web address for the complete, documented Mathematica code is given.

Keywords: progressive 3D rendering, progressive transmission of images, matrix cubic splines, matrix polynomial reconstructions.

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30th May 2002

Matrix Newton interpolation and progressive 3D imaging: PC-based computation

Published paper “Matrix Newton interpolation and progressive 3D imaging: PC-based computation” (E. Defez, A. Law, J. Villanueva Oller, R.J. Villanueva), in the Mathematical And Computer Modelling, nº 35, ISSN 0895-7177, pp. 303-322 (year 2002). Ed. Pergamon-Elsevier.

For polynomials P(x) = Anxn + An-1xn-1 + … + A1x + A0 in a real scalar x, but with coefficients Aj that are rectangular matrices, a generalization of Newton’s divided difference interpolatory scheme is developed. Instances of P(x) at nodes xi may be interpreted as slices of a digital 3D object. Mathematica code for this machinery is given and its effectiveness illustrated for progressively-transmitted renderings. Analysis, with supporting Mathematica code, is extended to a piecewise matrix polynomial situation, to produce practicable software for a PC-based performance evaluation. How a 3D object is decomposed into 2D subsets in preparation for progressive transmission, as well as their selected ordering for transmission, are seen to affect quality of the emerging reconstructions. Extension to 4D objects is also discussed briefly, to provide introduction to, for example, application of matrix polynomial machinery within the field of functional magnetic resonance imaging.

Keywords: progressive transmission of images, matrix Newton interpolation, matrix polynomial reconstruction, PC-based progressive rendering.

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30th April 2000

Progressive transmission of images: PC-based computations using orthogonal matrix polynomials

Published paper “Progressive Transmission of Images: PC-Based Computations, Using Orthogonal Matrix Polynomials” (E. Defez, A. Law, J. Villanueva Oller, R.J. Villanueva) in the Mathematical And Computer Modelling, nº 32, ISSN 0895-7177, pp. 1125-1140 (year 2000).

Two methods for reconstructing a 3-D image as its 2-D parallel slices are transmitted progressively, in some order, are presented and analyzed. In the originating data base, an ordered set of 2-D slices could represent computer tomography (CT), magnetic resonance images (MRI) or cryosection cross-sections of a 3-D object, for example. With this digital formulation, matrix interpolation machinery renders a progressively-improving image as slices are received. A piecewise matrix polynomial reconstruction is also considered for reducing computational needs.

Keywords: Progressive transmission of images, Matrix orthogonal polynomials, Piecewise matrix polynomials interpolation, Matrix polynomial reconstruction, Rendering.

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