Browsing through high quality document images with DjVu

被引：7

作者：

Haffner, P ^{[1
]}

Bottou, L ^{[1
]}

Howard, PG ^{[1
]}

Simard, P ^{[1
]}

Bengio, Y ^{[1
]}

Le Cun, Y ^{[1
]}

机构：

[1] AT&T Bell Labs, Res, Red Bank, NJ 07701 USA

来源：

IEEE INTERNATIONAL FORUM ON RESEARCH AND TECHNOLOGY ADVANCES IN DIGITAL LIBRARIES -ADL'98-, PROCEEDINGS | 1998年

关键词：

digital libraries; image compression; image segmentation; arithmetic coding; wavelet coding; JBIG2;

D O I：

10.1109/ADL.1998.670431

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 300dpi 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 300dpi, or 4 to 8 times better than CCITT-G4. A real-time, memory efficient version of the decoder was implemented, and is available as a plug-in for popular web browsers.

引用

页码：309 / 318

页数：10

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