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Journal of Electronic Imaging

High quality document image compression with "DjVu"
Author(s): Leon Bottou; Patrick Haffner; Paul G. Howard; Patrice Simard; Yoshua Bengio; Yann Le Cun
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Paper Abstract

We present a new image compression technique called "DjVu" that is specifically geared towards the compression of highresolution, high-quality images of scanned documents in color. This enables fast transmission of document images over low-speed connections, while faithfully reproducing the visual aspect of the document, including color, fonts, pictures, and paper texture. The DjVu compressor separates the text and drawings, which need a high spatial resolution, from the pictures and backgrounds, which are smoother and can be coded at a lower spatial resolution. Then, several novel techniques are used to maximize the compression ratio: the bi-level foreground image is encoded with AT&T’s proposal to the new JBIG2 fax standard, and a new wavelet-based compression method is used for the backgrounds and pictures. Both techniques use a new adaptive binary arithmetic coder called the ZP-coder. A typical magazine page in color at 300 dpi (dots per inch) can be compressed down to between 40 and 60 kbytes, approximately 5–10 times better than JPEG for a similar level of subjective quality. A real-time, memory efficient version of the decoder was implemented, and is available as a plug-in for popular web browsers.

Paper Details

Date Published: 1 July 1998
PDF: 16 pages
J. Electron. Imaging. 7(3) doi: 10.1117/1.482609
Published in: Journal of Electronic Imaging Volume 7, Issue 3
Show Author Affiliations
Leon Bottou, AT&T Labs-Research (United States)
Patrick Haffner, AT&T Labs-Research (United States)
Paul G. Howard, AT&T Bell Labs. (United States)
Patrice Simard, AT&T Labs-Research (United States)
Yoshua Bengio, Univ. de Montreal (Canada)
Yann Le Cun, AT&T Bell Labs. (United States)


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