High quality document image compression with "DjVu"

Léon Bottou, Patrick Haffner, Paul G. Howard, Patrice Simard, Yoshua Bengio, Yann LeCun

Research output: Contribution to journalArticlepeer-review

Abstract

We present a new image compression technique called "DjVu" that is specifically geared towards the compression of high-resolution, 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.

Original languageEnglish (US)
Pages (from-to)410-425
Number of pages16
JournalJournal of Electronic Imaging
Volume7
Issue number3
DOIs
StatePublished - Jul 1998

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Computer Science Applications
  • Electrical and Electronic Engineering

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