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Volumn , Issue , 2006, Pages 304-307

An improved image compression approach with SOFM network using cumulative distribution function

Author keywords

Convergence; Correlation; Cumulative distribution function; Learning vector quantization; Self Organizing Feature Maps

Indexed keywords

COMPRESSION RATIO (MACHINERY); CONFORMAL MAPPING; DATA COMPRESSION; DISTRIBUTION FUNCTIONS; IMAGE COMPRESSION; IMAGE ENHANCEMENT; MAPS; SELF ORGANIZING MAPS;

EID: 47649100998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ADCOM.2006.4289904     Document Type: Conference Paper
Times cited : (5)

References (5)
  • 2
    • 47649125896 scopus 로고    scopus 로고
    • Teuvo Kohonen, Self-Organizing Maps. Springer, Berlin, Heidelberg, Third Extended Edition (2001)
    • Teuvo Kohonen, Self-Organizing Maps. Springer, Berlin, Heidelberg, Third Extended Edition (2001)
  • 3
    • 0024123143 scopus 로고
    • Vector Quantization of images based upon the Kohonen self-organizing feature maps
    • San Diego, CA
    • N. Nasrabadi and Y. Feng, "Vector Quantization of images based upon the Kohonen self-organizing feature maps," in IEEE Int. Conf. Neural Networks, San Diego, CA, vol. 1, 1988, pp. 101-108.)
    • (1988) IEEE Int. Conf. Neural Networks , vol.1 , pp. 101-108
    • Nasrabadi, N.1    Feng, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.