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Volumn , Issue , 2004, Pages 87-92

Analysis of spatio-chromatic decorrelation for colour image reconstruction

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; COSINE TRANSFORMS; DATA REDUCTION; IMAGE CODING; IMAGE COMPRESSION; IMAGE QUALITY; MATRIX ALGEBRA; MULTIMEDIA SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; VECTORS; VISION;

EID: 34250690944     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (16)
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  • 3
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    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
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    • Olshausen, B.A.1    Field, D.J.2
  • 6
    • 0032492432 scopus 로고    scopus 로고
    • Independent component filters of natural images compared with simple cells in primary visual cortex
    • J.H. van Hateren and A. van der Schaaf. Independent component filters of natural images compared with simple cells in primary visual cortex. Proc. Roy. Soc. B, 265:359-366, 1998.
    • (1998) Proc. Roy. Soc. B , vol.265 , pp. 359-366
    • Van Hateren, J.H.1    Van Der Schaaf, A.2
  • 10
    • 0038053152 scopus 로고    scopus 로고
    • Clustering of compressed illumination-invariant chromaticity signatures for efficient video summarization
    • M.S. Drew and J. Au. Clustering of compressed illumination-invariant chromaticity signatures for efficient video summarization. Image and Vision Comput. J., 21:705-716, 2003.
    • (2003) Image and Vision Comput. J. , vol.21 , pp. 705-716
    • Drew, M.S.1    Au, J.2
  • 11
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    • A fast fixed-point algorithm for independent component analysis
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    • Hyvärinen, A.1    Oja, E.2
  • 14
    • 0036023876 scopus 로고    scopus 로고
    • Color opponency is an efficient representation of spectral properties in natural scenes
    • T.-W. Lee, T. Wachtler, and T.J. Sejnowski. Color opponency is an efficient representation of spectral properties in natural scenes. Vis. Res., 42:2095-2103, 2002.
    • (2002) Vis. Res. , vol.42 , pp. 2095-2103
    • Lee, T.-W.1    Wachtler, T.2    Sejnowski, T.J.3
  • 15
    • 0041849740 scopus 로고    scopus 로고
    • Independent component analysis applied to feature extraction from colour and stereo images
    • P.O. Hoyer and A. Hyvrinen. Independent component analysis applied to feature extraction from colour and stereo images. Network: Computation in Neural Systems, 11(3):191-210, 2000.
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    • Hoyer, P.O.1    Hyvrinen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.