DjVu: Analyzing and compressing scanned documents for Internet distribution

Patrick Haffner; Léon Bottou; Paul G. Howard; Yann LeCun

doi:10.1109/ICDAR.1999.791865

DjVu: Analyzing and compressing scanned documents for Internet distribution

Patrick Haffner, Léon Bottou, Paul G. Howard, Yann LeCun

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

DjVu is an image compression technique specifically geared towards the compression of scanned documents in color at high resolution. Typical color magazine pages scanned at 300 dpi are compressed to between 40 and 80 kBytes, or 5 to 10 times smaller than with JPEG for a similar level of subjective quality. The foreground layer, which contains the text and drawings and requires high spatial resolution, is separated from the background layer, which contains pictures and backgrounds and requires less resolution. The foreground is compressed with a bi-tonal image compression technique that takes advantage of character shape similarities. The background is compressed with a new progressive, wavelet-based compression method. A real-time, memory-efficient version of the decoder is available as a plug-in for popular Web browsers.

Original language	English (US)
Title of host publication	Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999
Publisher	IEEE Computer Society
Pages	629-632
Number of pages	4
ISBN (Electronic)	0769503187
DOIs	https://doi.org/10.1109/ICDAR.1999.791865
State	Published - 1999
Event	5th International Conference on Document Analysis and Recognition, ICDAR 1999 - Bangalore, India Duration: Sep 20 1999 → Sep 22 1999

Publication series

Name	Proceedings of the International Conference on Document Analysis and Recognition, ICDAR
ISSN (Print)	1520-5363

Other

Other	5th International Conference on Document Analysis and Recognition, ICDAR 1999
Country/Territory	India
City	Bangalore
Period	9/20/99 → 9/22/99

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICDAR.1999.791865

Cite this

Haffner, P., Bottou, L., Howard, P. G., & LeCun, Y. (1999). DjVu: Analyzing and compressing scanned documents for Internet distribution. In Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999 (pp. 629-632). Article 791865 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). IEEE Computer Society. https://doi.org/10.1109/ICDAR.1999.791865

DjVu: Analyzing and compressing scanned documents for Internet distribution. / Haffner, Patrick; Bottou, Léon; Howard, Paul G. et al.
Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999. IEEE Computer Society, 1999. p. 629-632 791865 (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Haffner, P, Bottou, L, Howard, PG & LeCun, Y 1999, DjVu: Analyzing and compressing scanned documents for Internet distribution. in Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999., 791865, Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, IEEE Computer Society, pp. 629-632, 5th International Conference on Document Analysis and Recognition, ICDAR 1999, Bangalore, India, 9/20/99. https://doi.org/10.1109/ICDAR.1999.791865

Haffner P, Bottou L, Howard PG, LeCun Y. DjVu: Analyzing and compressing scanned documents for Internet distribution. In Proceedings of the 5th International Conference on Document Analysis and Recognition, ICDAR 1999. IEEE Computer Society. 1999. p. 629-632. 791865. (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). doi: 10.1109/ICDAR.1999.791865

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abstract = "DjVu is an image compression technique specifically geared towards the compression of scanned documents in color at high resolution. Typical color magazine pages scanned at 300 dpi are compressed to between 40 and 80 kBytes, or 5 to 10 times smaller than with JPEG for a similar level of subjective quality. The foreground layer, which contains the text and drawings and requires high spatial resolution, is separated from the background layer, which contains pictures and backgrounds and requires less resolution. The foreground is compressed with a bi-tonal image compression technique that takes advantage of character shape similarities. The background is compressed with a new progressive, wavelet-based compression method. A real-time, memory-efficient version of the decoder is available as a plug-in for popular Web browsers.",

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DjVu: Analyzing and compressing scanned documents for Internet distribution

Abstract

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ASJC Scopus subject areas

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