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인지 화질 측정 기술 동향  

Cheon, Man-Ri (연세대학교)
Lee, Jong-Seok (연세대학교)
Publication Information
Broadcasting and Media Magazine / v.21, no.1, 2016 , pp. 78-88 More about this Journal
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연도 인용수 순위
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1 K. Seshadrinathan and A.C. Bovik, "Motion tuned spatio-temporal quality assessment of natural videos", IEEE Transactions on Image Processing, 2010
2 H. R. Sheikh and A. C. Bovik, "Image information and visual quality", IEEE Transactions on Image Processing, 2006
3 P. Marziliano et al., "A no-reference perceptual blur metric", IEEE International Conference on Image Processing (ICIP), 2002
4 F. Yang et al., "No-reference quality assessment for networked video via primary analysis of bit stream", IEEE Transactions on Circuits and Systems for Video, 2010
5 F. Yang et al., "Content-adaptive packet-layer model for quality assessment of networked video services", IEEE Journal of Selected Topics in Signal Processing, 2012
6 Z. Wang et al., "Multiscale structural similarity for image quality assessment", International Conference on Signals, Systems and Computers, 2003
7 Z. Lin et al., "FSIM: a feature similarity index for image quality assessment", IEEE Transactions on Image Processing, 2011
8 E. C. Larson and D. M. Chandler, "Most apparent distortion: full-reference image quality assessment and the role of strategy", Journal of Electronic Imaging, 2010
9 R. Soundararajan and A. C. Bovik, "RRED indices: Reduced reference entropic differencing for image quality assessment", IEEE Transactions on Image Processing, 2012
10 A. Mittal et al., "No-reference image quality assessment in the spatial domain", IEEE Transactions on Image Processing, 2012
11 M. A. Saad et al., "A DCT statistics-based blind image quality index", IEEE Signal Processing Letters, 2010
12 P. V. Vu et al., "A spatiotemporal most-apparent-distortion model for video quality assessment", IEEE International Conference on Image Processing (ICIP), 2011
13 M. Saad and A. C. Bovik, "Blind prediction of natural video quality", IEEE Transactions on Image Processing, 2013
14 M. Sugawara et al., "Ultra-high-definition television (Rec. ITU-R BT. 2020): A generational leap in the evolution of television [standards in a nutshell]", IEEE Signal Processing Magazine, 2014
15 Report ITU-R BT.2246, "The present state of ultra-high definition television", 2015
16 N. Ramzan et al., "Quality of experience evaluation of H.265/MPEG-HEVC and VP9 comparison efficiency", Microelectronics (ICM), 2014
17 M. Rerabek and T. Ebrahimi, "Comparison of compression efficiency between HEVC/H.265 and VP9 based on subjective assessments", SPIE Opitical Engineering+ Applications, 2014
18 A. Lachat et al., "How perception of ultra-high definition is modified by viewing distance and screen size", IS&T/SPIE Electronic Imaging, 2015
19 K. Berger et al., "Subjective quality assessment comparing UHD and HD resolution in HEVC transmission chains", International Workshop on Quality of Multimedia Experience (QoMEX), 2015
20 M. Cheon and J.-S. Lee, "Objective quality comparison of 4K UHD and up-scaled 4K UHD videos", IEEE International Symposium on Multimedia (ISM), 2014
21 P. Hanhart et al., "Benchmarking of quality metrics on ultra-high definition video sequences", International Conference on Digital Signal Processing (DSP), 2013
22 H. Nemoto et al., "Impact of ultra-high definition on visual attention", ACM International Conference on Multimedia, 2014
23 Recommendation ITU-T P.910, "Subjective video quality assessment methods for multimedia applications", 2008
24 Recommendation ITU-R BT.2020, "Parameter values for ultra-high definition television systems for production and international programme exchange", 2012
25 H. R. Wu and K. R. Rao, "Digital Video Image Quality and Perceptual Coding", CRC Press, 2005
26 Recommendation ITU-R BT.500-13, "Methodology for the subjective assessment of the quality of television pictures", 2012
27 Recommendation ITU-R BT.1788, "Methodology for the subjective assessment of video quality in multimedia applications", 2007
28 S. Chikkerur et al., "Objective video quality assessment methods: A classification, review, and performance comparison", IEEE Transactions on Broadcasting, 2011
29 Z. Wang et al., "Image quality assessment: from error visibility to structural similarity", IEEE Transactions on Image Processing, 2004
30 M. Pinson and S. Wolf, "A new standardized method for objectively measuring video quality", IEEE Transactions on Broadcasting, 2004