An objective distortion measure for binary document images based on human visual perception

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 4, 2002, Pages 239-242

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

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL WATERMARKING; IMAGE PROCESSING; NONLINEAR DISTORTION; PATTERN RECOGNITION; VISION; BINARY IMAGES;

BINARY IMAGES; DATA HIDING; DIGITAL DOCUMENT IMAGES; HUMAN VISUAL PERCEPTION;

INFORMATION RETRIEVAL SYSTEMS; BINS;

BINARY DOCUMENT IMAGE; DIGITAL DOCUMENTS; DIGITAL WORLD; DISTORTION MEASURES; HUMAN VISUAL PERCEPTION; OBJECTIVE DISTORTION; PERFORMANCE COMPARISON; SUBJECTIVE EVALUATIONS;

EID: 0037775299     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. N. Chaddha and T. H. Y. Meng. Psycho-visual based distortion measures for monochrome image and video compression. In 1993 Conference Record of the Twenty-Seventh Asilomar Conference on Signals, Systems and Computers, volume 2, pages 841-845, 1993.
2. 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 Transactions on Image Processing, 9(4):636-650, Apr. 2000.
3. R. C. Gonzalez and R. E. Woods. Digital Image Processing. Addison-Wesley Publishing Company, Inc., 1992.
4. S. A. Karunasekera and N. G. Kingsbury. A distortion measure for blocking artifacts in images based on human visual sensitivity. IEEE Transactions on Image Processing, 4(6):713-724, Jun. 1995.
5. K. M. Kim, C. S. Lee, E. J. Lee, and Y. H. Ha. Color image quantization using weighted distortion measure of hvs color activity. In Proc. of IEEE Int. Conf. on Image Processing, volume 3, pages 1035-1039, 1996.
6. Y. Liu, J. Mant, E. Wong, and S. H. Low. Marking and detection of text documents using transform-domain techniques. In Proc. of IS&T/SPIE's 11th Annual Symposium on Electronic Imaging: Science and Technology, pages 317-328, Jan. 1999.
7. S. Matsumoto and B. Liu. Analytical fidelity measures in the characterization of halftone processes. Journal of the Optical Society of America, 70(10), 1980.
8. Q. G. Mei, E. K. Wong, and N. D. Memon. Data hiding in binary text documents. In Proc. of SPIE Security and Watermarking of Multimedia Contents III, volume 4314, pages 369-375, Aug. 2001.
9. W. Osberger, A. J. Maeder, and D. McLean. An objective quality assessment technique for digital image sequences. In Proc. of Int. Conf. On Image Processing, pages 897-900, 1996.
10. Y. Q. Shi and H. Sun. Image and Video Compression for Multimedia Engineering: Fundamental, Algorithm, and Standards. CRC Press LLC, Boca Raton, FL, 1999.
11. P. C. Teo and D. J. Heeger. Perceptual image distortion. In Proc. of IEEE Int. Conf. on Image Processing, volume 2, pages 982-986, 1994.
12. A. A. Webster, C. T. Jones, M. H. Pinson, S. D. Voran, and S. Wolf. An objective video quality assessment system based on human perception. In Proc. of SPIE Human Vision, Visual Processing and Digital Display IV, volume 1913, pages 15-26, Feb. 1993.
13. M. Wu, E. Tang, and B. Liu. Data hiding in digital binary image. In Proc. of IEEE Int. Conf. on Multimedia and Expo, pages 393-396, New York City, July 31 to August 2, 2000.