High quality document image compression with "DjVu"

Leon Bottou; Patrick Haffner; Paul G. Howard; Patrice Simard; Yoshua Bengio; Yann Le Cun

doi:10.1117/1.482609

1 July 1998 High quality document image compression with "DjVu"

Leon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann Le Cun

Journal of Electronic Imaging, Vol. 7, Issue 3, (July 1998). https://doi.org/10.1117/1.482609

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.

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Leon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, and Yann Le Cun "High quality document image compression with "DjVu"," Journal of Electronic Imaging 7(3), (1 July 1998). https://doi.org/10.1117/1.482609

Published: 1 July 1998

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