Improved Mixed Document Compression by Using the DCT Coefficient Distributions

Society for Imaging Science and Technology: Image Processing, Image Quality, Image Capture, Systems Conference

Volumn , Issue , 2003, Pages 518-521

  Lam, Edmund Y ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; COSINE TRANSFORMS; ELECTRONIC DOCUMENT EXCHANGE; ERROR ANALYSIS; IMAGE ANALYSIS; IMAGE CODING; IMAGE QUALITY; RANDOM PROCESSES; SIGNAL TO NOISE RATIO;

DECOMPRESSION TECHNOLOGY; DIGITAL DOCUMENTS;

DATA COMPRESSION;

EID: 1542272295     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. William Pennebaker and Joan Mitchell, JPEG Still Image Data Compression Standard, Van Nostrand Reinhold, New York, 1992.
2. Konstantinos Konstantinides and Daniel Tretter, "A JPEG variable quantization method for compound documents," IEEE Transactions on Image Processing, vol. 9, no. 7, pp. 1282-1287, July 2000.
3. Marcia G. Ramos and Ricardo L. de Queiroz, "Classified JPEG coding of mixed document images for printing," IEEE Transactions on Image Processing, vol. 9, no. 4, pp. 716-720, April 2000.
4. Edmund Y. Lam and Joseph W. Goodman, "A mathematical analysis of the DCT coefficient distributions for images," IEEE Transactions on Image Processing, vol. 9, no. 10, pp. 1661-1666, October 2000.
5. Edmund Y. Lam, "Improved mixed document compression by using the DCT coefficient distributions," accepted for publication in IEEE Signal Processing Letters.
6. Alberto Leon-Garcia, Probability and Random Processess for Electrical Engineering, Addison Wesley, Reading, Massachusetts, second edition, 1994.