객관적 화질 평가와 주관적 화질 평가의 상관관계 연구

최근 소비자의 화질에 대한 높은 관심으로 관련 시장 경쟁력이 가열되었으며, 이에 따라 제조사는 고객만족을 위한 제품을 개발하는 방향으로 진보하고 있다. 그러나 제품의 객관적 성능 향상이 실제 소비자가 인지하는 화질의 선호도에 항상 긍정적인 영향을 미친다고 단정하기 어렵다. 또한 선행연구를 통해 객관적성능 평가 방법과 주관적 화질 평가 결과 간의 상관관계를 찾기 어려웠다. 그러므로 객관적 화질 재현 성능이 이미지 선호도에 미치는 영향을 파악하여 감상자가 선호하는 화질에 대해 분석할 필요가 있다. 따라서 본 논문에서는 객관적 화질 평가 요소들을 측정하고 이러한 수치들이 이미지 선호도와 어떠한 관계를 갖고 있는지 분석하고자 하였다. 이와 같은 연구를 위해 ISO에서 규정하고 있는 화질 평가 방법을 사용하여 이미지의 선호도를 측정하였으며 이러한 결과가 객관적 화질 평가 요소들과 어떠한 상관관계를 갖고 있는지 통계적으로 분석하였다. 이와 같은 결과는 화질을 향상시키는 요소를 분석할 수 있으며 단순한 고화질 추구를 위한 성능 개발뿐만 아니라 감상자가 선호하는 화질을 파악하여 개발에 도움이 될 수 있는 실질적인 연구로 기대된다.

[1]  Nicolas Gillis,et al.  Using underapproximations for sparse nonnegative matrix factorization , 2009, Pattern Recognit..

[2]  Hyunsoo Kim,et al.  Sparse Non-negative Matrix Factorizations via Alternating Non-negativity-constrained Least Squares , 2006 .

[3]  M. Couladis,et al.  Screening of some Greek aromatic plants for antioxidant activity , 2003, Phytotherapy research : PTR.

[4]  Haesun Park,et al.  Fast Nonnegative Matrix Factorization: An Active-Set-Like Method and Comparisons , 2011, SIAM J. Sci. Comput..

[5]  Lixing Han,et al.  On the rate of convergence of the image space reconstruction algorithm , 2009 .

[6]  Inderjit S. Dhillon,et al.  Generalized Nonnegative Matrix Approximations with Bregman Divergences , 2005, NIPS.

[7]  Nicolas Gillis,et al.  Sparse and unique nonnegative matrix factorization through data preprocessing , 2012, J. Mach. Learn. Res..

[8]  Быконя Валентина Викторовна.  Пути формирования селькупских генонимов и их рефлексы в лексико-семантической системе языка , 2011 .

[9]  Nicolas Gillis,et al.  Accelerated Multiplicative Updates and Hierarchical ALS Algorithms for Nonnegative Matrix Factorization , 2011, Neural Computation.

[10]  M. Mørup,et al.  Archetypal analysis for machine learning , 2010, 2010 IEEE International Workshop on Machine Learning for Signal Processing.

[11]  Christos Boutsidis,et al.  SVD based initialization: A head start for nonnegative matrix factorization , 2008, Pattern Recognit..

[12]  Zhigang Luo,et al.  NeNMF: An Optimal Gradient Method for Nonnegative Matrix Factorization , 2012, IEEE Transactions on Signal Processing.

[13]  Н. В. Фоменко,et al.  Интерпретация текста (учебное пособие) , 1990 .

[14]  Yu-Jin Zhang,et al.  FastNMF: highly efficient monotonic fixed-point nonnegative matrix factorization algorithm with good applicability , 2009, J. Electronic Imaging.

[15]  Andrzej Cichocki,et al.  Fast Local Algorithms for Large Scale Nonnegative Matrix and Tensor Factorizations , 2009, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..

[16]  Erkki Oja,et al.  Multiplicative Updates for Learning with Stochastic Matrices , 2013, SCIA.

[17]  R. de Fusco,et al.  Antipyretic and antibacterial actions of Teucrium polium (L.). , 1984, Pharmacological research communications.

[18]  Norikazu Takahashi,et al.  A Modified Multiplicative Update Algorithm for Euclidean Distance-Based Nonnegative Matrix Factorization and Its Global Convergence , 2011, ICONIP.

[19]  B. Suhagia,et al.  Estimation of boswellic acids from market formulations of Boswellia serrata extract and 11-keto beta-boswellic acid in human plasma by high-performance thin-layer chromatography. , 2007, Journal of chromatography. B, Analytical technologies in the biomedical and life sciences.

[20]  Stephen A. Vavasis,et al.  On the Complexity of Nonnegative Matrix Factorization , 2007, SIAM J. Optim..

[21]  Victoria Stodden,et al.  When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts? , 2003, NIPS.

[22]  M. Al-Said,et al.  Anti-inflammatory activity of Teucrium polium. , 1989, International journal of tissue reactions.

[23]  S. Pollack.  The wound healing process. , 1984, Clinics in dermatology.

[24]  Inderjit S. Dhillon,et al.  Fast coordinate descent methods with variable selection for non-negative matrix factorization , 2011, KDD.

[25]  H. Sebastian Seung,et al.  Algorithms for Non-negative Matrix Factorization , 2000, NIPS.

[26]  Chris H. Q. Ding,et al.  On the equivalence between Non-negative Matrix Factorization and Probabilistic Latent Semantic Indexing , 2008, Comput. Stat. Data Anal..

[27]  Chih-Jen Lin,et al.  Projected Gradient Methods for Nonnegative Matrix Factorization , 2007, Neural Computation.

[28]  S. Forjuoh.  Burns in low- and middle-income countries: a review of available literature on descriptive epidemiology, risk factors, treatment, and prevention. , 2006, Burns : journal of the International Society for Burn Injuries.

[29]  Andrzej Cichocki,et al.  Nonnegative Matrix and Tensor Factorization T , 2007 .

[30]  Haesun Park,et al.  Fast bregman divergence NMF using taylor expansion and coordinate descent , 2012, KDD.

[31]  Andrzej Cichocki,et al.  Hierarchical ALS Algorithms for Nonnegative Matrix and 3D Tensor Factorization , 2007, ICA.

[32]  Tamara G. Kolda,et al.  On Tensors, Sparsity, and Nonnegative Factorizations , 2011, SIAM J. Matrix Anal. Appl..

[33]  Chris H. Q. Ding,et al.  Nonnegative Matrix Factorization and Probabilistic Latent Semantic Indexing: Equivalence Chi-Square Statistic, and a Hybrid Method , 2006, AAAI.

[34]  A. Assimopoulou,et al.  Antioxidant activity of natural resins and bioactive triterpenes in oil substrates , 2005 .

[35]  Andrzej Cichocki,et al.  Non-negative Matrix Factorization with Quasi-Newton Optimization , 2006, ICAISC.

[36]  Michael W. Berry,et al.  Algorithms and applications for approximate nonnegative matrix factorization , 2007, Comput. Stat. Data Anal..

[37]  R. Kulkarni,et al.  Treatment of osteoarthritis with a herbomineral formulation: a double-blind, placebo-controlled, cross-over study. , 1991, Journal of ethnopharmacology.

[38]  Mark D. Plumbley,et al.  Theorems on Positive Data: On the Uniqueness of NMF , 2008, Comput. Intell. Neurosci..

[39]  H. Sebastian Seung,et al.  Learning the parts of objects by non-negative matrix factorization , 1999, Nature.

[40]  Luigi Grippo,et al.  On the convergence of the block nonlinear Gauss-Seidel method under convex constraints , 2000, Oper. Res. Lett..

[41]  Hyunsoo Kim,et al.  Nonnegative Matrix Factorization Based on Alternating Nonnegativity Constrained Least Squares and Active Set Method , 2008, SIAM J. Matrix Anal. Appl..

[42]  O. Werz,et al.  Boswellic acids: biological actions and molecular targets. , 2006, Current medicinal chemistry.

[43]  A. I. Lurʹe.  Физика и механика нелинейных явлений : сборник научных трудов , 1979 .

[44]  김나영.  디지털 미디어 콘텐츠 개발을 위한 교육용 플랫폼의 활용성 , 2011 .

[45]  M. Abdollahi,et al.  Antinociceptive effects of Teucrium polium L total extract and essential oil in mouse writhing test. , 2003, Pharmacological research.

[46]  A. Mason,et al.  A standard animal burn. , 1968, The Journal of trauma.

[47]  S. El-Zalabani,et al.  The essential oil of olibanum. , 1987, Planta medica.