메뉴 건너뛰기




Volumn 7, Issue 8, 2008, Pages 1085-1095

A survey on fractal image compression key issues

Author keywords

Domain pool optimization; Fractal coding; Fractal decoding; Image compression; Neural network

Indexed keywords

DECODING; DIGITAL IMAGE STORAGE; FRACTALS; IMAGE CLASSIFICATION; IMAGE COMPRESSION; NEURAL NETWORKS; OPTIMIZATION; PROGRAMMING THEORY; SURVEYS;

EID: 57249084631     PISSN: 18125638     EISSN: 18125646     Source Type: Journal    
DOI: 10.3923/itj.2008.1085.1095     Document Type: Review
Times cited : (28)

References (69)
  • 1
    • 0004227619 scopus 로고
    • 1st Edn, Academic Press, Boston, pp
    • Barnsley, M., 1988. Fractals Everywhere. 1st Edn., Academic Press, Boston, pp: 11-24.
    • (1988) Fractals Everywhere , pp. 11-24
    • Barnsley, M.1
  • 5
    • 0036543804 scopus 로고    scopus 로고
    • Fractal image compression with region-based functionality
    • Belloulata, K. and J. Konrad, 2002. Fractal image compression with region-based functionality. IEEE Transact. Image Process., 11: 1-12.
    • (2002) IEEE Transact. Image Process , vol.11 , pp. 1-12
    • Belloulata, K.1    Konrad, J.2
  • 8
    • 0035419994 scopus 로고    scopus 로고
    • Image compression using principal component neural networks
    • Costa, S. and S. Fiori, 2001. Image compression using principal component neural networks. Image Vision Comput., 19: 649-668.
    • (2001) Image Vision Comput , vol.19 , pp. 649-668
    • Costa, S.1    Fiori, S.2
  • 11
    • 0031999347 scopus 로고    scopus 로고
    • A wavelet-based analysis of fractal image compression
    • Davis, G.M., 1998. A wavelet-based analysis of fractal image compression. IEEE Trans. Image Process., 7: 141-154.
    • (1998) IEEE Trans. Image Process , vol.7 , pp. 141-154
    • Davis, G.M.1
  • 12
    • 0030084889 scopus 로고    scopus 로고
    • Fractal image compression based on delaunay triangulation and vector quantization
    • Davoine, F., M. Antonini, J.M. Chassey and M. Barlaud, 1996. Fractal image compression based on delaunay triangulation and vector quantization. IEEE Trans. Image Process., 5: 338-346.
    • (1996) IEEE Trans. Image Process , vol.5 , pp. 338-346
    • Davoine, F.1    Antonini, M.2    Chassey, J.M.3    Barlaud, M.4
  • 13
    • 0029243867 scopus 로고
    • Neural network approaches to image compression
    • Dony, R.D. and S. Haykin, 1995. Neural network approaches to image compression. Proc. IEEE, 83: 288-303.
    • (1995) Proc. IEEE , vol.83 , pp. 288-303
    • Dony, R.D.1    Haykin, S.2
  • 14
    • 2042425801 scopus 로고
    • Fractal image compression
    • Course Notes
    • Fisher, Y., 1992. Fractal image compression. SIGGRAPH'92 Course Notes.
    • (1992) SIGGRAPH , vol.92
    • Fisher, Y.1
  • 18
    • 57249107390 scopus 로고
    • Image compression based on a fractal theory. Internal Report S701, Institute for Electronics System, Aalborg University, Denmark
    • Frigaard, C., J. Gade, T. Hemmingsen and T. Sand, 1994. Image compression based on a fractal theory. Internal Report S701, Institute for Electronics System, Aalborg University, Denmark.
    • (1994)
    • Frigaard, C.1    Gade, J.2    Hemmingsen, T.3    Sand, T.4
  • 20
    • 1842556389 scopus 로고    scopus 로고
    • Codebook clustering by self-organizing map for fractal image compression
    • Hamzaoui, R., 1997. Codebook clustering by self-organizing map for fractal image compression. Fractals, 5: 27-38.
    • (1997) Fractals , vol.5 , pp. 27-38
    • Hamzaoui, R.1
  • 21
    • 17644387281 scopus 로고    scopus 로고
    • Cost-based region growing for fractal image compression
    • September 08-11, Rhodes, Greece, pp
    • Hartenstein, H. and D. Saupe, 1998. Cost-based region growing for fractal image compression. Proceedings of EUSIPCO'98, September 08-11, Rhodes, Greece, pp: 2313-2316.
    • (1998) Proceedings of EUSIPCO'98 , pp. 2313-2316
    • Hartenstein, H.1    Saupe, D.2
  • 24
    • 57249087181 scopus 로고    scopus 로고
    • Improved image compression using fractal block coding. Proceedings of the 46th IEEE International Midwest Symposium on Circuits and Systems
    • Dec. 27-30, Cairo, Egypt, pp
    • Hashemian, R. and S. Marivada, 2003. Improved image compression using fractal block coding. Proceedings of the 46th IEEE International Midwest Symposium on Circuits and Systems. MWSCAS, Dec. 27-30, Cairo, Egypt, pp: 544-547.
    • (2003) MWSCAS , pp. 544-547
    • Hashemian, R.1    Marivada, S.2
  • 26
    • 0034247422 scopus 로고    scopus 로고
    • Hufhagl, C. and A. Uhl, 2000. Algorithms for fractal image compression on massively parallel simd arrays. Real-Time Imag. J., 6: 267-281.
    • Hufhagl, C. and A. Uhl, 2000. Algorithms for fractal image compression on massively parallel simd arrays. Real-Time Imag. J., 6: 267-281.
  • 27
    • 0026630755 scopus 로고
    • Image coding based on a fractal theory of iterated contractive image transformations
    • Jacquin, A.E., 1992. Image coding based on a fractal theory of iterated contractive image transformations. IEEE Trans. Image Process., 1: 18-30.
    • (1992) IEEE Trans. Image Process , vol.1 , pp. 18-30
    • Jacquin, A.E.1
  • 28
    • 0032653928 scopus 로고    scopus 로고
    • Image compression with neural networks. A survey
    • Jiang, J., 1999. Image compression with neural networks. A survey. Signal Process. Image Commun., 14: 737-760.
    • (1999) Signal Process. Image Commun , vol.14 , pp. 737-760
    • Jiang, J.1
  • 30
    • 47649127089 scopus 로고    scopus 로고
    • Lossy color image compression technique using fractal coding with different size of range and domain blocks
    • December 20-23, Surathkal, India, pp
    • Koli, N.A. and M.S. Ali, 2006. Lossy color image compression technique using fractal coding with different size of range and domain blocks. Proceedings of International Conference on Advanced Computing and Communications, ADCOM 2006, December 20-23, Surathkal, India, pp: 236-239.
    • (2006) Proceedings of International Conference on Advanced Computing and Communications, ADCOM , pp. 236-239
    • Koli, N.A.1    Ali, M.S.2
  • 33
    • 0029218410 scopus 로고    scopus 로고
    • Krupnik, H., D. Malah and E. Karnin, 1995. Fractal representation of images via the discrete wavelet transform. Proceedings of the 18th IEEE Convention of Electrical and Electronics Engineers in Israel, March 7-8, IEEE Xplore, London, pp: 2.2.2/1-2.2.2/5.
    • Krupnik, H., D. Malah and E. Karnin, 1995. Fractal representation of images via the discrete wavelet transform. Proceedings of the 18th IEEE Convention of Electrical and Electronics Engineers in Israel, March 7-8, IEEE Xplore, London, pp: 2.2.2/1-2.2.2/5.
  • 34
    • 84949503795 scopus 로고    scopus 로고
    • A parallel architecture for quadtree-based fractal image coding
    • August 21-24, IEEE Computer Society Washington, DC, USA, pp
    • Lee, S., S. Omachi and A. Hirotomo, 2000. A parallel architecture for quadtree-based fractal image coding. International Conference on Parallel Processing (ICPP'00), August 21-24, IEEE Computer Society Washington, DC, USA., pp: 15-22.
    • (2000) International Conference on Parallel Processing (ICPP'00) , pp. 15-22
    • Lee, S.1    Omachi, S.2    Hirotomo, A.3
  • 35
    • 1542781320 scopus 로고    scopus 로고
    • Fast fractal image compression using pyramids
    • Lin, H. and A.N. Venetsanopoulos, 1998. Fast fractal image compression using pyramids. Optical Eng. J., 36: 1720-1731.
    • (1998) Optical Eng. J , vol.36 , pp. 1720-1731
    • Lin, H.1    Venetsanopoulos, A.N.2
  • 36
    • 0004111155 scopus 로고    scopus 로고
    • 1st Edn, Academic Press, New York
    • Lu, N., 1997. Fractal Imaging. 1st Edn., Academic Press, New York.
    • (1997) Fractal Imaging
    • Lu, N.1
  • 37
    • 0037001841 scopus 로고    scopus 로고
    • A jointly optimal fractal/DCT compression scheme
    • Melnikov, G. and A.K. Katsaggelos, 2002. A jointly optimal fractal/DCT compression scheme. IEEE Trans. Multimedia, 4: 413-422.
    • (2002) IEEE Trans. Multimedia , vol.4 , pp. 413-422
    • Melnikov, G.1    Katsaggelos, A.K.2
  • 38
    • 0026053207 scopus 로고
    • Fractally configured neural networks
    • Merrill, W.L., R.F. John and Port, 1991. Fractally configured neural networks. Neural Networks, 4: 53-60.
    • (1991) Neural Networks , vol.4 , pp. 53-60
    • Merrill, W.L.1    John, R.F.2    Port3
  • 40
    • 84947296034 scopus 로고    scopus 로고
    • Nagano, H., A. Matsuura and A. Nagoya, 1999. An efficient implementation method of fractal image compression on dynamically reconfigurable architecture. Proceedings of 6th Reconfigurable Architecture Workshop (RAW '99) associated with 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing (IPPS/SPDP '99), April 12-16, Springer LNCS 1586, San Juan (Puerto Rico), USA., pp: 670-678.
    • Nagano, H., A. Matsuura and A. Nagoya, 1999. An efficient implementation method of fractal image compression on dynamically reconfigurable architecture. Proceedings of 6th Reconfigurable Architecture Workshop (RAW '99) associated with 13th International Parallel Processing Symposium and 10th Symposium on Parallel and Distributed Processing (IPPS/SPDP '99), April 12-16, Springer LNCS 1586, San Juan (Puerto Rico), USA., pp: 670-678.
  • 42
    • 15544370710 scopus 로고    scopus 로고
    • Edge-based partition coding for fractal image compression. The Arabian
    • Ochotta, T. and D. Saupe, 2004. Edge-based partition coding for fractal image compression. The Arabian J. Sci. Eng., 29: 63-63.
    • (2004) J. Sci. Eng , vol.29 , pp. 63-63
    • Ochotta, T.1    Saupe, D.2
  • 44
    • 0022806284 scopus 로고
    • Classified vector quantization of images
    • Ramamurthi, B. and A. Gersho, 1986. Classified vector quantization of images. IEEE Trans. Commun., 34: 1105-1115.
    • (1986) IEEE Trans. Commun , vol.34 , pp. 1105-1115
    • Ramamurthi, B.1    Gersho, A.2
  • 45
    • 0031366728 scopus 로고    scopus 로고
    • Rejeb, B. and W. Anheier, 1997. A new approach for the speed up of fractal image coding. Proceedings of 13th International Conference on Digital Signal Processing, DSP 97, July 02-04, Santorini, Greece, pp: 853-856.
    • Rejeb, B. and W. Anheier, 1997. A new approach for the speed up of fractal image coding. Proceedings of 13th International Conference on Digital Signal Processing, DSP 97, July 02-04, Santorini, Greece, pp: 853-856.
  • 47
    • 84941606800 scopus 로고    scopus 로고
    • Russo, L.E. and C.E. Real, 1992. Image compression using outer product neural network. Proceedings of IEEE International Conference on Acoustic, Speech and Signal Processing ICASSP-92, March 23-26, San Francisco, CA, USA., pp: 377-380.
    • Russo, L.E. and C.E. Real, 1992. Image compression using outer product neural network. Proceedings of IEEE International Conference on Acoustic, Speech and Signal Processing ICASSP-92, March 23-26, San Francisco, CA, USA., pp: 377-380.
  • 49
    • 0000741051 scopus 로고
    • A review of fractal image compression literature
    • Saupe, D. and R. Hamzaoui, 1994. A review of fractal image compression literature. ACM Comput. Graphics, 28: 268-276.
    • (1994) ACM Comput. Graphics , vol.28 , pp. 268-276
    • Saupe, D.1    Hamzaoui, R.2
  • 52
    • 0031546389 scopus 로고    scopus 로고
    • Variance-based quadtrees in fractal image compression
    • Saupe, D. and S. Jacobs, 1997. Variance-based quadtrees in fractal image compression. Elect. Lett., 31: 46-48.
    • (1997) Elect. Lett , vol.31 , pp. 46-48
    • Saupe, D.1    Jacobs, S.2
  • 54
    • 0025745731 scopus 로고
    • A neural network to compute the Hutchinson metric in fractal image processing
    • Stark, J., 1991a. A neural network to compute the Hutchinson metric in fractal image processing. IEEE Trans. Neural Network, 2: 156-158.
    • (1991) IEEE Trans. Neural Network , vol.2 , pp. 156-158
    • Stark, J.1
  • 55
    • 0025790842 scopus 로고
    • Iterated function systems as neural network
    • Stark, J., 1991b. Iterated function systems as neural network. Neural Network, 4: 679-690.
    • (1991) Neural Network , vol.4 , pp. 679-690
    • Stark, J.1
  • 56
    • 85143491656 scopus 로고    scopus 로고
    • Sun, Y.D. and Y. Zhao, 2003. A parallel implementation of improved fractal image coding based on tree topology. Chinese J. Elec., 12: 152-156.
    • Sun, Y.D. and Y. Zhao, 2003. A parallel implementation of improved fractal image coding based on tree topology. Chinese J. Elec., 12: 152-156.
  • 57
    • 0022721216 scopus 로고
    • Simple neural optimization networks: An A/D converter, Signal Decision Circuit and a linear programming circuit
    • Tank, D.W. and J.J. Hopfield, 1986. Simple neural optimization networks: An A/D converter, Signal Decision Circuit and a linear programming circuit. IEEE Trans. Circuits Syst., 33: 533-541.
    • (1986) IEEE Trans. Circuits Syst , vol.33 , pp. 533-541
    • Tank, D.W.1    Hopfield, J.J.2
  • 59
    • 0029327801 scopus 로고
    • Region-based fractal image compression using Heuristic search
    • Thomas, L. and F. Deravi, 1995. Region-based fractal image compression using Heuristic search. IEEE Trans. Image Process., 4: 823-838.
    • (1995) IEEE Trans. Image Process , vol.4 , pp. 823-838
    • Thomas, L.1    Deravi, F.2
  • 60
    • 0036611782 scopus 로고    scopus 로고
    • Adaptive approximate nearest neighbor search for fractal image compression
    • Tong, C.S. and M. Wong, 2002. Adaptive approximate nearest neighbor search for fractal image compression. IEEE Trans. Image Process., 11: 605-615.
    • (2002) IEEE Trans. Image Process , vol.11 , pp. 605-615
    • Tong, C.S.1    Wong, M.2
  • 61
    • 0010235366 scopus 로고    scopus 로고
    • Fractal image compression on mimd architectures I: Basic algorithms
    • Uhl, A. and J. Hammerle, 1997. Fractal image compression on mimd architectures I: Basic algorithms. Parallel Algorithms Appl., 11: 187-204.
    • (1997) Parallel Algorithms Appl , vol.11 , pp. 187-204
    • Uhl, A.1    Hammerle, J.2
  • 62
    • 27144437328 scopus 로고    scopus 로고
    • Genetic algorithms for fractal image and image sequence compression
    • Vences, L. and I. Rudomin, 1997. Genetic algorithms for fractal image and image sequence compression. Proceedings of Computation Visual, pp: 35-44.
    • (1997) Proceedings of Computation Visual , pp. 35-44
    • Vences, L.1    Rudomin, I.2
  • 63
    • 57249107388 scopus 로고    scopus 로고
    • A fast encoding algorithm for fractal image compression
    • Wang, C. and J. Kao, 2004. A fast encoding algorithm for fractal image compression. IEICE Elect. Express, 1: 352-357.
    • (2004) IEICE Elect. Express , vol.1 , pp. 352-357
    • Wang, C.1    Kao, J.2
  • 64
    • 0030127897 scopus 로고    scopus 로고
    • Applications of Universal context modelling to Lossless compression of gray-scale images
    • Weinberger, M.J., J.J. Rissanen and R.B. Arps, 1996. Applications of Universal context modelling to Lossless compression of gray-scale images. IEEE Trans. Image Process., 5: 575-586.
    • (1996) IEEE Trans. Image Process , vol.5 , pp. 575-586
    • Weinberger, M.J.1    Rissanen, J.J.2    Arps, R.B.3
  • 66
    • 0033340022 scopus 로고    scopus 로고
    • A review of the fractal image coding literature
    • Wohlberg, B. and G. de Jager, 1999. A review of the fractal image coding literature. IEEE Trans. Image Process., 8: 1716-1729.
    • (1999) IEEE Trans. Image Process , vol.8 , pp. 1716-1729
    • Wohlberg, B.1    de Jager, G.2
  • 69
    • 0030109142 scopus 로고    scopus 로고
    • A hybrid image compression scheme combining block-based fractal coding and dct
    • Zhao, Y. and B. Yuan, 1996. A hybrid image compression scheme combining block-based fractal coding and dct. Signal Process., Image Commun., 8: 73-78.
    • (1996) Signal Process., Image Commun , vol.8 , pp. 73-78
    • Zhao, Y.1    Yuan, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.