Document image quality: Making fine discriminations

Proceedings of the International Conference on Document Analysis and Recognition, ICDAR

Volumn , Issue , 1999, Pages 463-466

  Baird, Henry S ^a  

^a PALO ALTO RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC TEST PATTERN GENERATION;

DOCUMENT IMAGE DEGRADATION MODELS; ENGINEERING FOUNDATION; IMAGE DEGRADATION; IMAGE QUALITY ESTIMATION; POWER FUNCTIONS; REFERENCE IMAGE; SYNTHETIC IMAGES; VISUAL INSPECTION;

IMAGE QUALITY;

EID: 82355181319     PISSN: 15205363     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDAR.1999.791824     Document Type: Conference Paper

References (6)

1. A. Bagdanov and J. Kanai. 1995 annual research report. Technical report, Information Science Research Institute, Univ. Nevada at Las Vegas, Nevada, 1995. Available from ISRI, ECE Dept, Univ. Nevada, P. O. Box 454026, Las Vegas, NV 89154-4026.
2. H. S. Baird. Structured document image analysis. chapter Document Image Defect Models, pages 546-556. Springer-Verlag: New York, 1992.
3. H. S. Baird. Calibration of document image defect models. In Proc, 2nd Annual Symposium on Document Analysis and Information Retrieval, Caesar's Palace Hotel, Las Vegas, Nevada, April 26-28 1993.
4. H. S. Baird. Distinguishing image degradations using bootstrapping. In Proc, IAPRDAS'98 Workshop, Nagano, Japan, November 4-6 1998.
5. T. Kanungo. Document Degradation Models and Methodology for Degradation Model Validation. PhD thesis, Dept. EE, Univ. Washington, March 1996.
6. T. Kanungo, R. M. Haralick, H. S. Baird, W. Stuetzle, and D. Madigan. Document degradation models: Parameter estimation and model validation. InProc., Int'l Workshop on Machine Vision Applications, Kawasaki, Japan, December 13-15 1994.