Distance-reciprocal distortion measure for binary document images

IEEE Signal Processing Letters

Volumn 11, Issue 2 PART II, 2004, Pages 228-231

  Lu, Haiping ^a   Kot, Alex C ^a   Shi, Yun Q ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Document image; Human visual perception; Objective distortion measure

Indexed keywords

COMPUTER SIMULATION; COMPUTER SOFTWARE; IMAGE QUALITY; OPTICAL CHARACTER RECOGNITION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; SIGNAL TO NOISE RATIO; VISION;

BINARY DOCUMENT IMAGES; DISTANCE RECIPROCAL DISTORTION MEASURE; HUMAN VISUAL PERCEPTION; OBJECTIVE DISTORTION MEASURE;

IMAGE PROCESSING;

EID: 0442311212     PISSN: 10709908     EISSN: None     Source Type: Journal    
DOI: 10.1109/LSP.2003.821748     Document Type: Article

References (9)

1. M. Chen, E. K. Wong, N. Memon, and S. Adams, "Recent developments in document image watermarking and data hiding," in Proc. SPIE Conf. 4518: Multimedia Systems and Applications IV, Aug. 2001, pp. 166-176.
2. Y. Q. Shi and H. Sun, Image and Video Compression for Multimedia Engineering: Fundamental, Algorithm, and Standards. Boca Raton, FL: CRC, 1999.
3. N. Damera-Venkata, T. D. Kite, W. S. Geisler, B. L. Evans and A. C. Bovik, "Image quality assessment based on a degradation model," IEEE Trans. Image Processing, vol. 9, pp. 636-650, Apr. 2000.
4. S. A. Karunasekera and N. G. Kingsbury, "A distortion measure for blocking artifacts in images based on human visual sensitivity," IEEE Trans. Image Processing, vol. 4, no. 6, pp. 713-724, June 1995.
5. P. C. Teo and D. J. Heeger, "Perceptual image distortion," in Proc. IEEE Int. Conf. Image Processing, vol. 2, Nov. 1994, pp. 982-986.
6. H. S. Baird, "Document image defect models and their uses," in Proc. IAPR 2nd. Int. Conf. Document Analysis and Recognition, Tsukuba Science City, Japan, Oct. 1993, pp. 62-67.
7. T. Ho, and H. S. Baird, "Perfect metrics," in Proc. IAPR 2nd Int. Conf. Document Analysis and Recognition, Tsukuba Science City, Japan, Oct. 1993, pp. 593-597.
8. A. J. Baddeley, "An error metric for binary images," in Robust Computer Vision: Quality of Vision Algorithms, W. Forstner and S. Ruwiedel, Eds. Karlsruhe, Germany: Wichmann, 1992, pp. 59-78.
9. M. Wu, E. Tang, and B. Liu, "Data hiding in digital binary image," in Proc. IEEE Int. Conf. on Multimedia and Expo, vol. 1, New York City, July 31-Aug. 2 2000, pp. 393-396.