Academic literature on the topic 'Iterated Function Systems (IFS)'
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Journal articles on the topic "Iterated Function Systems (IFS)"
Iacus, Stefano Maria, and Davide La Torre. "Approximating distribution functions by iterated function systems." Journal of Applied Mathematics and Decision Sciences 2005, no. 1 (January 1, 2005): 33–46. http://dx.doi.org/10.1155/jamds.2005.33.
Full textMohtashamipour, Maliheh, and Alireza Zamani Bahabadi. "Chaos in Iterated Function Systems." International Journal of Bifurcation and Chaos 30, no. 12 (September 30, 2020): 2050177. http://dx.doi.org/10.1142/s0218127420501771.
Full textBalu, Rinju, and Sunil Mathew. "ON (n, m)-ITERATED FUNCTION SYSTEMS." Asian-European Journal of Mathematics 06, no. 04 (December 2013): 1350055. http://dx.doi.org/10.1142/s1793557113500551.
Full textFRAME, MICHAEL, and NIAL NEGER. "FRACTAL VIDEOFEEDBACK AS ANALOG ITERATED FUNCTION SYSTEMS." Fractals 16, no. 03 (September 2008): 275–85. http://dx.doi.org/10.1142/s0218348x08003946.
Full textJONES, HUW. "ITERATED FUNCTION SYSTEMS FOR OBJECT GENERATION AND RENDERING." International Journal of Bifurcation and Chaos 11, no. 02 (February 2001): 259–89. http://dx.doi.org/10.1142/s0218127401002237.
Full textCentore, P. M., and E. R. Vrscay. "Continuity of Attractors and Invariant Measures for Iterated Function Systems." Canadian Mathematical Bulletin 37, no. 3 (September 1, 1994): 315–29. http://dx.doi.org/10.4153/cmb-1994-048-6.
Full textRajan, Pasupathi, María A. Navascués, and Arya Kumar Bedabrata Chand. "Iterated Functions Systems Composed of Generalized θ-Contractions." Fractal and Fractional 5, no. 3 (July 14, 2021): 69. http://dx.doi.org/10.3390/fractalfract5030069.
Full textEROĞLU, KEMAL ILGAR, STEFFEN ROHDE, and BORIS SOLOMYAK. "Quasisymmetric conjugacy between quadratic dynamics and iterated function systems." Ergodic Theory and Dynamical Systems 30, no. 6 (November 24, 2009): 1665–84. http://dx.doi.org/10.1017/s0143385709000789.
Full textVasisht, Radhika, Mohammad Salman, and Ruchi Das. "Variants of shadowing properties for iterated function systems on uniform spaces." Filomat 35, no. 8 (2021): 2565–72. http://dx.doi.org/10.2298/fil2108565v.
Full textDEKKING, F. M., and P. VAN DER WAL. "THE BOUNDARY OF THE ATTRACTOR OF A RECURRENT ITERATED FUNCTION SYSTEM." Fractals 10, no. 01 (March 2002): 77–89. http://dx.doi.org/10.1142/s0218348x0200077x.
Full textDissertations / Theses on the topic "Iterated Function Systems (IFS)"
Gadde, Erland. "Stable iterated function systems." Doctoral thesis, Umeå universitet, Institutionen för matematik, teknik och naturvetenskap, 1992. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-100370.
Full textDiss. Umeå : Umeå universitet, 1992
digitalisering@umu
Reid, James Edward. "Numerical Values of the Hausdorff and Packing Measures for Limit Sets of Iterated Function Systems." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011825/.
Full textAlexander, Simon. "Multiscale Methods in Image Modelling and Image Processing." Thesis, University of Waterloo, 2005. http://hdl.handle.net/10012/1179.
Full text'Imaging' is quite broad, and suffers somewhat from this broadness. The general question of 'what is an image?' or perhaps 'what is a natural image?' turns out to be difficult to address. To make real headway one may need to strongly constrain the class of images being considered, as will be done in part of this thesis. On the other hand there are general principles that can guide research in many areas. One such principle considered is the assertion that (classes of) images have multiscale relationships, whether at a pixel level, between features, or other variants. There are both practical (in terms of computational complexity) and more philosophical reasons (mimicking the human visual system, for example) that suggest looking at such methods. Looking at scaling relationships may also have the advantage of opening a problem up to many mathematical tools.
This thesis will detail two investigations into multiscale relationships, in quite different areas. One will involve Iterated Function Systems (IFS), and the other a stochastic approach to reconstruction of binary images (binary phase descriptions of porous media). The use of IFS in this context, which has often been called 'fractal image coding', has been primarily viewed as an image compression technique. We will re-visit this approach, proposing it as a more general tool. Some study of the implications of that idea will be presented, along with applications inferred by the results. In the area of reconstruction of binary porous media, a novel, multiscale, hierarchical annealing approach is proposed and investigated.
Reis, Glauco dos Santos. "Uma abordagem de compressão de imagens através de sistemas de funções iteradas." Universidade Presbiteriana Mackenzie, 2011. http://tede.mackenzie.br/jspui/handle/tede/1408.
Full textFundo Mackenzie de Pesquisa
A new image compression technique is proposed, based on the affine transformations (ATs) that define an iterated function system (IFS). Previous related research in the field has shown that an image may be approximated by iteratively subjecting a set of sub-regions to a group of ATs. In this case, the original image should be partitioned in regions, and each one of the active pixels are transformed by the AT. The new transformed set should be approximated to other image regions. This iterated execution to find ATs for the best set of areas might result in smaller storage space since the similar areas might be replaced by AT coefficients. Despite this advantage, the technique is computationally intensive, because both the sub-regions and the corresponding ATs that have to be searched for. Here, a new form of similarity is proposed, based on the successive points generated by the iteration of affine transformations. By understanding an AT as a discrete dynamical system, with each image point represented by an iteration of the AT, the method captures similarities between these points, namely, those with the same color in the image; by saving the starting point and the transformations coefficients, the points can be iterated back, to reconstruct the original image. This results in lighter computational effort, since the comparison is made point by point, instead of region by region. Experiments were made on a group of 10 images, representing a broad set of distinct features and resolutions. The proposed algorithm competes in terms of storage size, when compared to JPEG, mainly when the image size is small, and the number of colors are reduced, as currently happens for most images used in the Internet. Although the proposed method is faster than the traditional method for IFS compression, it is slower than common file formats like JPEG.
Uma nova técnica para compressão de imagens é proposta, baseada em conjuntos de transformações afins (affine transformations - ATs), normalmente conhecidos como sistemas de funções iteradas (iterated function system -IFS). Pesquisas anteriores mostraram que uma imagem poderia ser aproximada pela aplicação de um grupo de ATs em conjuntos de sub-regiões da imagem, de forma iterativa. Através deste processo, a imagem original seria subdividida em regiões e sobre a coordenada de cada ponto habilitado de cada região seria aplicada uma transformação afim. O resultado representaria um novo conjunto de pontos similares a outras regiões da imagem. A execução de forma iterada deste processo de identificação das ATs para o maior conjunto de regiões similares de uma determinada imagem permitiria uma redução no armazenamento, já que as regiões similares poderiam ser armazenadas como os coeficientes das transformações afins. Apesar desta vantagem em termos de compressão, a técnica é computacionalmente intensiva, pela busca exaustiva de sub-regiões e das ATs geradoras, de forma a proporcionar o melhor preenchimento em outras regiões da imagem. Esta pesquisa propõe uma nova forma de compressão baseada em ATs, utilizando a sequência de pontos gerada pela iteração das ATs. Entendendo uma AT como um sistema dinâmico em tempo discreto, cada novo ponto identificado é consequência direta da iteração da AT sobre o ponto anterior, permitindo a captura de similaridades nesta sequência de pontos. Através do salvamento dos coeficientes das ATs e das coordenadas iniciais, é possível a reconstrução da imagem pela iteração da AT a partir do ponto inicial. Isto pode resultar em menor esforço computacional, pois apenas comparações simples de pontos são necessárias, ao invés de comparações entre os pontos de regiões da imagem. Foram feitos experimentos em um conjunto de 10 classes de imagens, representando um espectro de diferentes características gerais e resoluções. O algoritmo proposto rivaliza em termos de armazenamento quando comparado ao formato JPEG, principalmente para imagens de pequeno tamanho e com número de cores reduzidas, como as utilizadas com frequência na Internet. Apesar de ser mais rápido para a compressão do que outros métodos baseados em IFS, ele é mais lento do que métodos clássicos como o JPEG.
Boore, Graeme C. "Directed graph iterated function systems." Thesis, University of St Andrews, 2011. http://hdl.handle.net/10023/2109.
Full textVines, Greg. "Signal modeling with iterated function systems." Diss., Georgia Institute of Technology, 1993. http://hdl.handle.net/1853/13315.
Full textHardin, Douglas Patten. "Hyperbolic iterated function systems and applications." Diss., Georgia Institute of Technology, 1985. http://hdl.handle.net/1853/30864.
Full textGiles, Paul A. "Iterated function systems and shape representation." Thesis, Durham University, 1990. http://etheses.dur.ac.uk/6188/.
Full textKieninger, Bernd. "Iterated function systems on compact Hausdorff spaces /." Aachen : Shaker, 2002. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=010050648&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.
Full textPaul, Baldine-Brunel. "Video Compression based on iterated function systems." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/13553.
Full textBooks on the topic "Iterated Function Systems (IFS)"
1967-, Kornelson Keri A., and Shuman Karen L. 1973-, eds. Iterated function systems, moments, and transformations of infinite matrices. Providence, R.I: American Mathematical Society, 2011.
Find full textBratteli, Ola. Iterated function systems and permutation representations of the Cuntz algebra. Providence, R.I: American Mathematical Society, 1999.
Find full textCanright, David. Estimating the spatial extent of attractors of iterated function systems. Monterey, Calif: Naval Postgraduate School, 1993.
Find full textTsoodol, Nyamkhuu. Geometric modeling of 3D fractal objects: Finding 3D Iterated function system of natural objects based on 2D IFS of 2D orthogonal parallel projections. VDM Verlag Dr. Müller, 2009.
Find full textIterated Function Systems for Real-Time Image Synthesis. London: Springer London, 2007. http://dx.doi.org/10.1007/1-84628-686-7.
Full textNikiel, Slawomir. Iterated Function Systems for Real-Time Image Synthesis. Springer, 2007.
Find full textNikiel, Slawomir. Iterated Function Systems for Real-Time Image Synthesis. Springer London, Limited, 2010.
Find full textBook chapters on the topic "Iterated Function Systems (IFS)"
Cuzzocrea, Alfredo, Enzo Mumolo, and Giorgio Mario Grasso. "Genetic Estimation of Iterated Function Systems for Accurate Fractal Modeling in Pattern Recognition Tools." In Computational Science and Its Applications – ICCSA 2017, 357–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62392-4_26.
Full textBarnsley, Michael F., John H. Elton, and Douglas P. Hardin. "Recurrent Iterated Function Systems." In Constructive Approximation, 3–31. Boston, MA: Springer US, 1989. http://dx.doi.org/10.1007/978-1-4899-6886-9_1.
Full textMassopust, Peter. "Hypercomplex Iterated Function Systems." In Trends in Mathematics, 589–98. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87502-2_59.
Full textColapinto, Cinzia, and Davide La Torre. "Iterated Function Systems, Iterated Multifunction Systems, and Applications." In Mathematical and Statistical Methods in Insurance and Finance, 83–90. Milano: Springer Milan, 2008. http://dx.doi.org/10.1007/978-88-470-0704-8_11.
Full textSokolov, Dmitry, Gilles Gouaty, Christian Gentil, and Anton Mishkinis. "Boundary Controlled Iterated Function Systems." In Curves and Surfaces, 414–32. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22804-4_29.
Full textRousseau, Christiane, and Yvan Saint-Aubin. "Image Compression Iterated Function Systems." In Mathematics and Technology, 1–42. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-69216-6_11.
Full textField, Michael. "Fractals and Iterated Function Systems." In Springer Undergraduate Mathematics Series, 329–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67546-6_8.
Full textGowrisankar, A., and D. Easwaramoorthy. "Local Countable Iterated Function Systems." In Trends in Mathematics, 169–75. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01120-8_20.
Full textPasupathi, R., A. K. B. Chand, and M. A. Navascués. "Cyclic Multivalued Iterated Function Systems." In Springer Proceedings in Mathematics & Statistics, 245–56. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-9307-7_21.
Full textBezuglyi, Sergey, and Palle E. T. Jorgensen. "Iterated Function Systems and Transfer Operators." In Transfer Operators, Endomorphisms, and Measurable Partitions, 133–42. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-92417-5_12.
Full textConference papers on the topic "Iterated Function Systems (IFS)"
U, Yongsop, Ying Yu, Dong Han, and Jizhou Sun. "Research on Generation of Fractal Architecture Model Scheme via Iterated Function System (IFS)." In 2015 International Conference on Computer Science and Intelligent Communication. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/csic-15.2015.18.
Full textLu, Guojun, and Toon L. Yew. "Image compression using partitioned iterated function systems." In IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, edited by Majid Rabbani and Robert J. Safranek. SPIE, 1994. http://dx.doi.org/10.1117/12.173912.
Full textMishra, Kunti, and Bhagwati Prasad. "Iterated function systems in Gb-metric space." In ADVANCEMENT IN MATHEMATICAL SCIENCES: Proceedings of the 2nd International Conference on Recent Advances in Mathematical Sciences and its Applications (RAMSA-2017). Author(s), 2017. http://dx.doi.org/10.1063/1.5008714.
Full textSoto-Villalobos, Roberto, Francisco Gerardo Benavides-Bravo, Filiberto Hueyotl-Zahuantitla, and Mario A. Aguirre-López. "A New Deterministic Gasket Fractal Based on Ball Sets." In WSCG 2023 – 31. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision. University of West Bohemia, Czech Republic, 2023. http://dx.doi.org/10.24132/csrn.3301.34.
Full textCohen, H. A. "Deterministic scanning and hybrid algorithms for fast decoding of IFS (iterated function system) encoded image sets." In [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 1992. http://dx.doi.org/10.1109/icassp.1992.226164.
Full textGoyal, Komal, and Bhagwati Prasad. "Generalized iterated function systems." In ADVANCED TRENDS IN MECHANICAL AND AEROSPACE ENGINEERING: ATMA-2019. AIP Publishing, 2021. http://dx.doi.org/10.1063/5.0036922.
Full textGreen, Simon G. "GPU-accelerated iterated function systems." In ACM SIGGRAPH 2005 Sketches. New York, New York, USA: ACM Press, 2005. http://dx.doi.org/10.1145/1187112.1187128.
Full textHernández Ávalos, Pedro A., Claudia Feregrino Uribe, Roger Luis Velázquez, and René A. Cumplido Parra. "Watermarking Based on Iterated Function Systems." In 2009 Mexican International Conference on Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/enc.2009.58.
Full textKocsis, Steve. "Digital Compression And Iterated Function Systems." In 33rd Annual Techincal Symposium, edited by Andrew G. Tescher. SPIE, 1990. http://dx.doi.org/10.1117/12.962305.
Full textIldikó, Somogyi, and Soós Anna. "Interpolation using local iterated function systems." In INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS (ICNAAM 2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5044147.
Full textReports on the topic "Iterated Function Systems (IFS)"
Schwartz, Ira B., and Laurie Reuter. Background Simulation and Filter Design Using Iterated Function Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1991. http://dx.doi.org/10.21236/ada232632.
Full textDoughty, Christine. Estimation of hydrologic properties of heterogeneous geologic media with an inverse method based on iterated function systems. Office of Scientific and Technical Information (OSTI), December 1995. http://dx.doi.org/10.2172/195663.
Full textDoughty, Christine A. Estimation of hydrologic properties of heterogeneous geologic media with an inverse method based on iterated function systems. Office of Scientific and Technical Information (OSTI), May 1996. http://dx.doi.org/10.2172/241577.
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