Image quality evaluation model based on local features and segmentation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 405-408

  Horita, Yuukou ^a   Sato, Masaharu ^a   Kawayoke, Yoshikazu ^a   Sazzad, Z M Parvez ^a   Shibata, Keiji ^a  

^a UNIVERSITY OF TOYAMA   (Japan)

Author keywords

Mean opinion score (MOS); Mean opinion score prediction (MOSp); No reference (NR); Zero crossing rate (ZC)

Indexed keywords

CONVENTIONAL MODELS; IMAGE DISTORTIONS; IMAGE PROCESSING APPLICATIONS; IMAGE QUALITY EVALUATION; JPEG CODED IMAGES; LOCAL FEATURE; MEAN OPINION SCORES; NO REFERENCES; OPTIMIZATION METHOD; SEGMENTATION ALGORITHMS; TEST IMAGES; ZERO CROSSING RATE;

ALGORITHMS; IMAGE QUALITY; IMAGING SYSTEMS; QUALITY CONTROL;

IMAGE SEGMENTATION;

EID: 38149037417     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312479     Document Type: Conference Paper

References (5)

1. ITU-T Recommendation J.144 "Objective perceptual video quality measurement techniques for digital cable television in the presence of a full reference", March, 2004.
2. Z. Wang, H. R. Sheikh, and A. C. Bovik, " No-Reference perceptual quality assessment of JPEG compressed images," in Proc. IEEE ICIP, pp. 1-477-480, Sept. 2002.
3. Y Horita, M. Sato, Y Kawayoke, Z. M. P. Sazzad and K. Shibta "Quality evaluation model using local features of still picture," Proc. EUSIPCO, Florence, Italy, September 2006.
4. cjpeg software, "ftp://ftp.uu.net/graphics/jpeg/jpegsrc.v6b.tar. gz"
5. J. Kennedy and R. Eberhart, "Particle Swarm Optimization," Proc. IEEE ICNN, Perth, Australia, pp. 1942- 1948, Nov. 1995.