Browsing through high quality document images with DjVu

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

Research output: Contribution to conferencePaper

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. With DjVu, any screen connected to the Internet can access and display images of scanned pages while faithfully reproducing the font, color, drawing, pictures, and paper texture. A typical magazine page in color at 300 dpi can be compressed down to between 40 to 60 KB, approximately 5 to 10 times better than JPEG for a similar level of subjective quality. B&W documents are typically 15 to 30 KBytes at 300 dpi, or 4 to 8 times better than CCITT0G4. 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)
Pages309-318
Number of pages10
StatePublished - 1998
EventProceedings of the 1998 IEEE Forum on Research and Technology Advances in Digital Libraries, IEEE ADL'98 - Santa Barbara, CA, USA
Duration: Apr 22 1998Apr 24 1998

Other

OtherProceedings of the 1998 IEEE Forum on Research and Technology Advances in Digital Libraries, IEEE ADL'98
CitySanta Barbara, CA, USA
Period4/22/984/24/98

ASJC Scopus subject areas

  • Management of Technology and Innovation

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    Haffner, P., Bottou, L., Howard, P. G., Simard, P., Bengio, Y., & Cun, Y. L. (1998). Browsing through high quality document images with DjVu. 309-318. Paper presented at Proceedings of the 1998 IEEE Forum on Research and Technology Advances in Digital Libraries, IEEE ADL'98, Santa Barbara, CA, USA, .