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Volumn , Issue , 2010, Pages 289-292

Reduced-reference SSIM estimation

Author keywords

Divisive normalization transform; Image repairing; Natural image statistics; Reduced reference image quality assessment; Regression by discretization; Structural similarity

Indexed keywords

DISCRETIZATIONS; DIVISIVE NORMALIZATION TRANSFORM; IMAGE REPAIRING; NATURAL IMAGE STATISTICS; REDUCED-REFERENCE IMAGE QUALITY ASSESSMENTS; STRUCTURAL SIMILARITY;

EID: 78651073348     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2010.5653508     Document Type: Conference Paper
Times cited : (30)

References (10)
  • 1
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: From error visibility to structural similarity," IEEE Trans. Image Processing, vol. 13, no. 4, pp. 600-612, 2004.
    • (2004) IEEE Trans. Image Processing , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4
  • 4
    • 63649111774 scopus 로고    scopus 로고
    • Reduced-reference image quality assessment using divisive normalization-based image representation
    • Q. Li and Z. Wang, "Reduced-reference image quality assessment using divisive normalization-based image representation," IEEE Journal on Selected Topics in Signal Processing, vol. 3, no. 2, pp. 202-211, 2009.
    • (2009) IEEE Journal on Selected Topics in Signal Processing , vol.3 , Issue.2 , pp. 202-211
    • Li, Q.1    Wang, Z.2
  • 7
    • 84898965689 scopus 로고    scopus 로고
    • Scale mixtures of gaussians and the statistics of natural images
    • MIT Press
    • M. J. Wainwright and E. P. Simoncelli, "Scale mixtures of gaussians and the statistics of natural images," in in Adv. Neural Info. Processing Systems. 2000, pp. 855-861, MIT Press.
    • (2000) Adv. Neural Info. Processing Systems , pp. 855-861
    • Wainwright, M.J.1    Simoncelli, E.P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.