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Volumn , Issue , 2013, Pages 995-1002

Learning without human scores for blind image quality assessment

Author keywords

bind image quality assessment; clustering; qualiyt aware

Indexed keywords

CLUSTERING; DISTORTED IMAGES; HUMAN PERCEPTION; IMAGE LOCAL FEATURES; IMAGE QUALITY ASSESSMENT; PERCEPTUAL QUALITY; QUALIYT AWARE; REAL-TIME IMPLEMENTATIONS;

EID: 84887337804     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2013.133     Document Type: Conference Paper
Times cited : (416)

References (29)
  • 1
    • 18744436222 scopus 로고    scopus 로고
    • No-reference sharpness metric based on local edge kurtosis
    • J. Caviedes and S. Gurbuz. No-reference sharpness metric based on local edge kurtosis. In ICIP, 2002.
    • (2002) ICIP
    • Caviedes, J.1    Gurbuz, S.2
  • 2
    • 84933282749 scopus 로고    scopus 로고
    • Large scale spectral clustering with landmark-based representation
    • X. Chen and D. Cai. Large scale spectral clustering with landmark-based representation. In AAAI, 2011.
    • (2011) AAAI
    • Chen, X.1    Cai, D.2
  • 4
    • 84866660569 scopus 로고    scopus 로고
    • Sparse representation for blind image quality assessment
    • L. He, D. Tao, X. Li, and X. Gao. Sparse representation for blind image quality assessment. In CVPR, 2012.
    • (2012) CVPR
    • He, L.1    Tao, D.2    Li, X.3    Gao, X.4
  • 5
    • 0006420689 scopus 로고    scopus 로고
    • Image features from phase congruency
    • P. Kovesi. Image features from phase congruency. Journal of Computer Vision Research, 1(3):1-26, 1999.
    • (1999) Journal of Computer Vision Research , vol.1 , Issue.3 , pp. 1-26
    • Kovesi, P.1
  • 6
    • 76549113942 scopus 로고    scopus 로고
    • Most apparent distortion: Fullreference image quality assessment and the role of strategy
    • E. Larson and D. Chandler. Most apparent distortion: fullreference image quality assessment and the role of strategy. Journal of Electronic Imaging, 19(1):011006, 2010.
    • (2010) Journal of Electronic Imaging , vol.19 , Issue.1 , pp. 011006
    • Larson, E.1    Chandler, D.2
  • 7
    • 0034850577 scopus 로고    scopus 로고
    • A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
    • D. Martin, C. Fowlkes, D. Tal, and J. Malik. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics. In ICCV, 2001.
    • (2001) ICCV
    • Martin, D.1    Fowlkes, C.2    Tal, D.3    Malik, J.4
  • 9
    • 0036501198 scopus 로고    scopus 로고
    • A single-ended blockiness measure for JPEG-coded images
    • L. Meesters and J. Martens. A single-ended blockiness measure for JPEG-coded images. Signal Processing, 82(3):369-387, 2002.
    • (2002) Signal Processing , vol.82 , Issue.3 , pp. 369-387
    • Meesters, L.1    Martens, J.2
  • 11
    • 84855673971 scopus 로고    scopus 로고
    • Blind image quality assessment without human training using latent quality factors
    • A. Mittal, G. Muralidhar, J. Ghosh, and A. Bovik. Blind image quality assessment without human training using latent quality factors. IEEE SPL, 19(2):75-78, 2012.
    • (2012) IEEE SPL , vol.19 , Issue.2 , pp. 75-78
    • Mittal, A.1    Muralidhar, G.2    Ghosh, J.3    Bovik, A.4
  • 13
    • 77950648432 scopus 로고    scopus 로고
    • A two-step framework for constructing blind image quality indices
    • A. Moorthy and A. Bovik. A two-step framework for constructing blind image quality indices. IEEE SPL, 17(5):513-516, 2010.
    • (2010) IEEE SPL , vol.17 , Issue.5 , pp. 513-516
    • Moorthy, A.1    Bovik, A.2
  • 14
    • 82055163046 scopus 로고    scopus 로고
    • Blind image quality assessment: From natural scene statistics to perceptual quality
    • A. Moorthy and A. Bovik. Blind image quality assessment: From natural scene statistics to perceptual quality. IEEE TIP, 20(12):3350-3364, 2011.
    • (2011) IEEE TIP , vol.20 , Issue.12 , pp. 3350-3364
    • Moorthy, A.1    Bovik, A.2
  • 16
    • 77951811834 scopus 로고    scopus 로고
    • A dct statistics-based blind image quality index
    • M. Saad, A. Bovik, and C. Charrier. A dct statistics-based blind image quality index. IEEE SPL, 17(6):583-586, 2010.
    • (2010) IEEE SPL , vol.17 , Issue.6 , pp. 583-586
    • Saad, M.1    Bovik, A.2    Charrier, C.3
  • 17
    • 84857347778 scopus 로고    scopus 로고
    • Model-based blind image quality assessment using natural DCT statistics
    • M. Saad, A. Bovik, and C. Charrier. Model-based blind image quality assessment using natural DCT statistics. IEEE TIP, 21:3339-3352, 2011.
    • (2011) IEEE TIP , vol.21 , pp. 3339-3352
    • Saad, M.1    Bovik, A.2    Charrier, C.3
  • 18
    • 84887395459 scopus 로고    scopus 로고
    • No-reference quality assessment using natural scene statistics: JPEG2000
    • H. Sheikh, A. Bovik, and L. Cormack. No-reference quality assessment using natural scene statistics: JPEG2000. In ICIP, 2005.
    • (2005) ICIP
    • Sheikh, H.1    Bovik, A.2    Cormack, L.3
  • 20
    • 4043137356 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • A. Smola and B. Schölkopf. A tutorial on support vector regression. Statistics and computing, 14(3):199-222, 2004.
    • (2004) Statistics and Computing , vol.14 , Issue.3 , pp. 199-222
    • Smola, A.1    Schölkopf, B.2
  • 21
    • 80052870291 scopus 로고    scopus 로고
    • Learning a blind measure of perceptual image quality
    • H. Tang, N. Joshi, and A. Kapoor. Learning a blind measure of perceptual image quality. In CVPR, 2011.
    • (2011) CVPR
    • Tang, H.1    Joshi, N.2    Kapoor, A.3
  • 22
    • 85032752383 scopus 로고    scopus 로고
    • Applications of objective image quality assessment methods
    • nov.
    • Z. Wang. Applications of objective image quality assessment methods. IEEE Signal Processing Magazine, 28(6):137-142, nov. 2011.
    • (2011) IEEE Signal Processing Magazine , vol.28 , Issue.6 , pp. 137-142
    • Wang, Z.1
  • 23
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • Z. Wang, A. Bovik, H. Sheikh, and E. Simoncelli. Image quality assessment: From error visibility to structural similarity. IEEE TIP, 13(4):600-612, 2004.
    • (2004) IEEE TIP , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.2    Sheikh, H.3    Simoncelli, E.4
  • 24
    • 78649855692 scopus 로고    scopus 로고
    • Spatial pooling strategies for perceptual image quality assessment
    • Z. Wang and X. Shang. Spatial pooling strategies for perceptual image quality assessment. In ICIP, 2006.
    • (2006) ICIP
    • Wang, Z.1    Shang, X.2
  • 25
    • 18844478544 scopus 로고    scopus 로고
    • No-reference perceptual quality assessment of JPEG compressed images
    • Z. Wang, H. Sheikh, and A. Bovik. No-reference perceptual quality assessment of JPEG compressed images. In ICIP, 2002.
    • (2002) ICIP
    • Wang, Z.1    Sheikh, H.2    Bovik, A.3
  • 26
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE TPAMI, 31(2):210-227, 2009.
    • (2009) IEEE TPAMI , vol.31 , Issue.2 , pp. 210-227
    • Wright, J.1    Yang, A.2    Ganesh, A.3    Sastry, S.4    Ma, Y.5
  • 27
    • 84866683924 scopus 로고    scopus 로고
    • Unsupervised feature learning framework for no-reference image quality assessment
    • P. Ye, J. Kumar, L. Kang, and D. Doermann. Unsupervised feature learning framework for no-reference image quality assessment. In CVPR, 2012.
    • (2012) CVPR
    • Ye, P.1    Kumar, J.2    Kang, L.3    Doermann, D.4
  • 28
    • 0023527655 scopus 로고
    • The gaussian derivative model for spatial vision: I. Retinal mechanisms
    • R. Young. The gaussian derivative model for spatial vision: I. retinal mechanisms. Spatial vision, 2(4):273-293, 1987.
    • (1987) Spatial Vision , vol.2 , Issue.4 , pp. 273-293
    • Young, R.1
  • 29
    • 79960509746 scopus 로고    scopus 로고
    • Fsim: A feature similarity index for image quality assessment
    • L. Zhang, L. Zhang, X. Mou, and D. Zhang. Fsim: a feature similarity index for image quality assessment. IEEE TIP, 20(8):2378-2386, 2011.
    • (2011) IEEE TIP , vol.20 , Issue.8 , pp. 2378-2386
    • Zhang, L.1    Zhang, L.2    Mou, X.3    Zhang, D.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.