On the optimal choice of quality metric in image compression

Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Volumn 2002-January, Issue , 2002, Pages 116-120

  Kosheleva, O ^a   Kreinovich, V ^a   Nguyen, H T ^b  

^a UNIVERSITY OF TEXAS AT EL PASO   (United States)

^b NEW MEXICO STATE UNIVERSITY   (United States)

Author keywords

Application software; Computer science; Image coding; Image reconstruction; Neoplasms

Indexed keywords

APPLICATION PROGRAMS; COMPUTER SCIENCE; IMAGE CODING; IMAGE RECONSTRUCTION;

COMPRESSION METHODS; LOSSY COMPRESSION METHODS; NEOPLASMS; OPTIMAL CHOICE; QUALITY METRICES; RELATIVE SIZES; SYMMETRY CONDITIONS; TUNABLE PARAMETER;

IMAGE ANALYSIS;

EID: 25844462150     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IAI.2002.999901     Document Type: Conference Paper

References (5)

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2. P. C. Fishburn, Nonlinear preference and utility theory, The John Hopkins Press, Baltimore, MD, 1988.
3. O. Kosheleva, Symmetry-group justification of maximum entropy method and generalized maximum entropy methods in image processing, In:G. J. Erickson, J. T. Rychert, and C. R. Smith (eds.), Maximum Entropy and Bayesian Methods, Kluwer, Dordrecht, 1998, pp. 101-113.
4. O. Kosheleva et al., Compression degradation metrics for analysis of consistency in microcalcification detection, Proc. 1998 IEEE Symposium on Image Analysis and Interpretation, April 5-7, Tucson, Arizona, USA, pp. 35-40.
5. H. T. Nguyen and V. Kreinovich, Applications of continuous mathematics to computer science, Kluwer, Dordrecht, 1997.