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Volumn 5637, Issue , 2005, Pages 611-618

Image compression using frequency sensitive competitive neural network

Author keywords

Codebook; FSCL; PSNR; SNR; Vector quantization

Indexed keywords

BACKPROPAGATION; IMAGE PROCESSING; LEARNING ALGORITHMS; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; TELECONFERENCING; VECTOR QUANTIZATION;

EID: 19844363946     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.582144     Document Type: Conference Paper
Times cited : (4)

References (17)
  • 1
    • 0032653928 scopus 로고    scopus 로고
    • Image compression with neural networks - A survey
    • J. Jiang, "Image compression with neural networks - a survey," Signal Processing: Image Communication 14, pp. 737-760, 1999.
    • (1999) Signal Processing: Image Communication , vol.14 , pp. 737-760
    • Jiang, J.1
  • 3
    • 0029243867 scopus 로고
    • Neural network approaches to image compression
    • February
    • R.D. Dony, S. Haykin, "Neural network approaches to image compression," Proc. IEEE 83 (2), pp. 288-303, February 1995.
    • (1995) Proc. IEEE , vol.83 , Issue.2 , pp. 288-303
    • Dony, R.D.1    Haykin, S.2
  • 4
    • 0025786441 scopus 로고
    • Image compression with back propagation: Improvement of the visual restoration using different cost functions
    • M. Mougeot, R. Azencott, B. Angeniol, "Image compression with back propagation: improvement of the visual restoration using different cost functions," Neural Networks 4 (4) (1991) pp. 467-476.
    • (1991) Neural Networks , vol.4 , Issue.4 , pp. 467-476
    • Mougeot, M.1    Azencott, R.2    Angeniol, B.3
  • 6
    • 84941606800 scopus 로고
    • Image compression using an outer product neural network
    • San Francisco, CA
    • L.E. Russo, E.C. Real, "Image compression using an outer product neural network," in: Proc. ICASSP, Vol. 2, San Francisco, CA, pp. 377-380, 1992.
    • (1992) Proc. ICASSP , vol.2 , pp. 377-380
    • Russo, L.E.1    Real, E.C.2
  • 7
    • 0000193499 scopus 로고
    • New methods for lossless image compression using arithmetic coding
    • P.G. Howard, J.S. Vitter, "New methods for lossless image compression using arithmetic coding," Inform. Process. Management 28 (6), pp. 765-779, 1992.
    • (1992) Inform. Process. Management , vol.28 , Issue.6 , pp. 765-779
    • Howard, P.G.1    Vitter, J.S.2
  • 8
    • 0030289487 scopus 로고    scopus 로고
    • Lossless compression of VQ index with search-order coding
    • November
    • C.H. Hsieh, J.C. Tsai, "Lossless compression of VQ index with search-order coding," IEEE Trans. Image Process. 5 (11), pp. 1579-1582, November 1996.
    • (1996) IEEE Trans. Image Process , vol.5 , Issue.11 , pp. 1579-1582
    • Hsieh, C.H.1    Tsai, J.C.2
  • 9
    • 0029407930 scopus 로고
    • A novel design of arithmetic coding for data compression
    • November, ISSN 1350-2387
    • J. Jiang, "A novel design of arithmetic coding for data compression," IEE Proc.-E: Computer and Digital Techniques 142 (6), pp. 419-424, November 1995, ISSN 1350-2387.
    • (1995) IEE Proc.-E: Computer and Digital Techniques , vol.142 , Issue.6 , pp. 419-424
    • Jiang, J.1
  • 10
    • 0031070744 scopus 로고    scopus 로고
    • Index-compressed vector quantization based on index mapping
    • February
    • J. Shanbehzadeh, P.O. Ogunbona, "Index-compressed vector quantization based on index mapping," IEE Proc.-Vision Image Signal Process. 144 (1), pp. 31-38, February 1997.
    • (1997) IEE Proc.-vision Image Signal Process , vol.144 , Issue.1 , pp. 31-38
    • Shanbehzadeh, J.1    Ogunbona, P.O.2
  • 11
    • 0022058231 scopus 로고
    • Finite state vector quantization for waveform coding
    • May
    • J. Foster, R. M. Gray, and M. O. Dunham, "Finite state vector quantization for waveform coding," IEEE Trans. Inform. Theory, vol. IT-31, pp. 348-349, May 1985.
    • (1985) IEEE Trans. Inform. Theory , vol.IT-31 , pp. 348-349
    • Foster, J.1    Gray, R.M.2    Dunham, M.O.3
  • 12
    • 0028439281 scopus 로고
    • Dynamic finite-state vector quantization of digital images
    • May
    • N. M. Nasarabadi, C. Y. Choo, and Y. S. feng, "Dynamic finite-state vector quantization of digital images," IEEE Trans. Commun., vol. 32, pp. 2145-2154, May 1994.
    • (1994) IEEE Trans. Commun. , vol.32 , pp. 2145-2154
    • Nasarabadi, N.M.1    Choo, C.Y.2    Feng, Y.S.3
  • 13
    • 0023386634 scopus 로고
    • Image compression based on vector quantization with finite memory
    • July
    • R. Arvind and A. Gersho, "Image compression based on vector quantization with finite memory," Opt. Eng., vol. 26, no. 7, pp. 570-580, July 1987.
    • (1987) Opt. Eng. , vol.26 , Issue.7 , pp. 570-580
    • Arvind, R.1    Gersho, A.2
  • 14
    • 0031123797 scopus 로고    scopus 로고
    • Finte-state residual vector quantization using a tree-structured competitive neural network
    • April
    • S. A. Rizvi, N. M. Nasarabadi, "Finte-state residual vector quantization using a tree-structured competitive neural network," IEEE Transactions on Circuits and Systems for Video Technology, vol. 7, no. 2, pp. 377-390, April 1997.
    • (1997) IEEE Transactions on Circuits and Systems for Video Technology , vol.7 , Issue.2 , pp. 377-390
    • Rizvi, S.A.1    Nasarabadi, N.M.2
  • 16
    • 19844363924 scopus 로고
    • Neural networks for signal processing
    • B. Kosko, "Neural networks for signal processing," Prentice Hall, 1992.
    • (1992) Prentice Hall
    • Kosko, B.1
  • 17
    • 0032072626 scopus 로고    scopus 로고
    • Image compression by self-orgainzed kohonen map
    • May
    • C. Amerijckx, P. Thissen, "Image compression by self-orgainzed kohonen map," IEEE Transactions on Neural Networks, vol. 9, no. 3, pp. 503-506, May 1998.
    • (1998) IEEE Transactions on Neural Networks , vol.9 , Issue.3 , pp. 503-506
    • Amerijckx, C.1    Thissen, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.