Classified JPEG coding of mixed document images for printing

IEEE Transactions on Image Processing

Volumn 9, Issue 4, 2000, Pages 716-720

  Ramos, Marcia G ^a   De Queiroz, Ricardo L ^b  

^a Department of Obstetrics Gynecology   (United States)

^b XEROX CORPORATION   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COLOR PRINTING; COSINE TRANSFORMS; IMAGE COMPRESSION; IMAGE QUALITY; IMAGE SEGMENTATION; SIGNAL TO NOISE RATIO; VECTOR QUANTIZATION;

CLASSIFIED THRESHOLDING; JOINT PICTURE EXPERT GROUP; PEAK SIGNAL TO NOISE RATIO;

IMAGE CODING;

EID: 0033901125     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.841946     Document Type: Article

References (14)

1. W. B. Pennebaker and J. L. Mitchell, JPEG - Still Image Data Compression Standard, New York: Van Nostrand Reinhold, 1993.
2. D. Marr, Vision. San Francisco, CA: Freeman, 1982.
3. ISO/IEC, CD 10918-3, "Information Technology - Digital compression and coding of continuous tone still images - Pt. 3: Extensions,", Nov. 13, 1994.
4. K. Konstantinides and D. Tretter, "A method for variable quantization in JPEG for improved text quality in compound documents," in Proc. IEEE Int. Conf. Image Processing, vol. 2, Chicago, IL, Oct. 1998, pp. 565-568.
5. N. Chaddha, A. Agrawall, A. Gupta, and T. H.-Y. Meng, "Variable compression using JPEG," in Proc. Int. Conf. Multimedia Computing Systems, Boston, MA, May 1994, pp. 562-569.
6. R. Rosenholtz and A. B. Watson, "Perceptual adaptive JPEG coding," in Proc. IEEE Int. Conf. Image Processing, vol. 1, Lausanne, Switzerland, Sept. 1996, pp. 901-904.
7. M. G. Ramos and S. S. Hemami, "Edge-adaptive JPEG image compression," in Proc. SPIE Visual Communications Image Processing, vol. 2727, Mar. 1996, pp. 1082-1093.
8. K. Ramachandran and M. Vetterli, "Rate-distortion fast thresholding with complete JPEG-MPEG decoder compatibility," IEEE Trans. Image Processing, vol. 3, pp. 700-704, Sept. 1994.
9. R. L. de Queiroz, "Processing JPEG-compressed images and documents," in Proc. IEEE Int. Conf. Image Processing, vol. 2, Santa Barbara, CA, Oct. 1997, pp. 334-337.
10. R. Safranek, "A comparison of the coding efficiency of perceptual models," in Proc. SPIE Human Vision, Visual Processing, Digital Display IV, vol. 2411, Feb. 1995, pp. 83-91.
11. X. Ran and N. Farvardin, "A percepually motivated three-component image model - Part I: Description of the model," IEEE Trans. Image Processing, vol. 4, pp. 401-415, Apr. 1995.
12. M. G. Ramos and S. S. Hemami, "Perceptually-based scalable image coding for packet networks," J. Electron. Imag., vol. 7, pp. 453-463, July 1998.
13. R. L. de Queiroz and K. R. Rao, "Transform coding," in Handbook of Visual Communications, H.-M. Hang and J. W. Woods, Eds, New York: Academic Press, 1995, ch. 7, pp. 223-263.
14. M. G. Ramos, S. S. Hemami, and M. A. Tamburro, "Psychovisually-based multiresolution image segmentation," in Proc. IEEE Int. Conf. Image Processing, vol. 3, Santa Barbara, CA, Oct. 1997, pp. 66-69.