Provided by: djvulibre-bin_3.5.28-2build3_amd64 
NAME
DjVu - DjVu and DjVuLibre.
INTRODUCTION
Although the Internet has given us a worldwide infrastructure on which to build the
universal library, much of the world knowledge, history, and literature is still trapped
on paper in the basements of the world's traditional libraries. Many libraries and content
owners are in the process of digitizing their collections. While many such efforts
involve the painstaking process of converting paper documents to computer-friendly form,
such as SGML based formats, the high cost of such conversions limits their extent.
Scanning documents, and distributing the resulting images electronically is not only
considerably cheaper, but also more faithful to the original document because it preserves
its visual aspect.
Despite the quickly improving speed of network connections and computers, the number of
scanned document images accessible on the Web today is relatively small. There are several
reasons for this.
The first reason is the relatively high cost of scanning anything else but unbound sheets
in black and white. This problem is slowly going away with the appearance of fast and low-
cost color scanners with sheet feeders.
The second reason is that long-established image compression standards and file formats
have proved inadequate for distributing scanned documents at high resolution, particularly
color documents. Not only are the file sizes and download times impractical, the decoding
and rendering times are also prohibitive. A typical magazine page scanned in color at 100
dpi in JPEG would typically occupy 100 KB to 200 KB , but the text would be hardly
readable: insufficient for screen viewing and totally unacceptable for printing. The same
page at 300 dpi would have sufficient quality for viewing and printing, but the file size
would be 300 KB to 1000 KB at best, which is impractical for remote access. Another major
problem is that a fully decoded 300 dpi color images of a letter-size page occupies 24 MB
of memory and easily causes disk swapping.
The third reason is that digital documents are more than just a collection of individual
page images. Pages in a scanned documents have a natural serial order. Special provision
must be made to ensure that flipping pages be instantaneous and effortless so as to
maintain a good user experience. Even more important, most existing document formats force
users to download the entire document first before displaying a chosen page. However,
users often want to jump to individual pages of the document without waiting for the
entire document to download. Efficient browsing requires efficient random page access,
fast sequential page flipping, and quick rendering. This can be achieved with a
combination of advanced compression, pre-fetching, pre-decoding, caching, and progressive
rendering. DjVu decomposes each page into multiple components (text, backgrounds, images,
libraries of common shapes...) that may be shared by several pages and downloaded on
demand. All these requirements call for a very sophisticated but parsimonious control
mechanism to handle on-demand downloading, pre-fetching, decoding, caching, and
progressive rendering of the page images. What is being considered here is not just a
document image compression technique, but a whole platform for document delivery.
DjVu is an image compression technique, a document format, and a software platform for
delivering documents images over the Internet that fulfills the above requirements.
DJVU IMAGE COMPRESSION
The DjVu image compression is based on three technologies:
DjVuPhoto
DjVuPhoto, also known as IW44, is a wavelet-based continuous-tone image compression
technique with progressive decoding/rendering. It is best used for encoding photographic
images in colors or in shades of gray. Images are typically half the size as JPEG for the
same distortion.
DjVuBitonal
DjVuBitonal, also known as JB2, is a bitonal image compression that takes advantage of
repetitions of nearly identical shapes on the page (such as characters) to efficiently
compress text images. It is best used to compress black and white images representing
text and simple drawings. A typical 300 dpi page in DjVuBitonal occupies 5 to 25 KB (3 to
8 times better than TIFF-G4 or PDF ).
DjVuDocument
DjVuDocument is a compression technique specifically designed for color digital documents
images containing both pictures and text, such as a page of a magazine. DjVuDocument
represents images into separately compressed layers. The foreground layer is usually
compressed with DjVu Bitonal and contains the text and drawings. The background layer is
usually compressed with DjVuPhoto and contains the background texture and the pictures at
lower resolution.
DJVU DOCUMENT DELIVERY PLATFORM
The DjVu technology is designed from the ground up to support the efficient delivery of
digital documents over the Internet. It provides various ways to deal with multi-page
documents, and various ways to enrich the content with hyper-links, meta-data, searchable
text, etc.
MIME types
The DjVu format has an official MIME type of image/vnd.djvu, which is the preferred
content-type to be given by http servers for DjVu files. Unofficial mime types used
historically are image/x.djvu and image/x-djvu, which may still be encountered. Ideally,
clients should be configured to handle all three.
Bundled multi-page documents
Bundled multi-page DjVu document uses a single file to represent the entire document.
This single file contains all the pages as well as ancillary information (e.g. the page
directory, data shared by several pages, thumbnails, etc.). Using a single file format is
very convenient for storing documents or for sending email attachments.
When you type the URL of a multi-page document, the DjVu browser plugin starts downloading
the whole file, but displays the first page as soon as it is available. You can
immediately navigate to other pages using the DjVu toolbar. Suppose however that the
document is stored on a remote web server. You can easily access the first page and see
that this is not the document you wanted. Although you will never display the other pages
the browser is transferring data for these pages and is wasting the bandwidth of your
server (and the bandwidth of the Internet too). You could also see the summary of the
document on the first page and jump to page 100. But page 100 cannot be displayed until
data for pages 1 to 99 has been received. You may have to wait for the transmission of
unnecessary page data. This second problem (the unnecessary wait) can be solved using the
``byte serving'' options of the HTTP/1.1 protocol. This option has to be supported by the
web server, the proxies, the caches and the browser. Byte serving however does not solve
the first problem (the waste of bandwidth).
Indirect multi-page documents
Indirect multi-page DjVu documents solve both problems. An indirect multi-page DjVu
document is composed of several files. The main file is named the index file. You can
browse a document using the URL of the index file, just like you do with a bundled multi-
page document. The index file however is very small. It simply contains the document
directory and the URLs of secondary files containing the page data. When you browse an
indirect multi-page document, the browser only accesses data for the pages you are
viewing. This can be done at a reasonable speed because the browser maintains a cache of
pages and sometimes pre-fetches a few pages ahead of the current page. This model uses
the web serving bandwidth much more effectively. It also eliminates unnecessary delays
when jumping ahead to pages located anywhere in a long document.
Annotations
Every DjVu image optionally includes so-called annotation chunks. The annotation chunk is
often used to define hyper-links to other document pages or to arbitrary web pages.
Annotation chunks can also be used for other purposes such as setting the initial viewing
mode of a page, defining highlighted zones, or storing arbitrary meta-data about the page
or the document.
Hidden text
Every DjVu image optionally includes a hidden text layer that associated graphical
features with the corresponding text. The hidden text layer is usually generated by
running an Optical Character Recognition software. This textual information provides for
indexing DjVu documents and copying/pasting text from DjVu page images.
Thumbnails
DjVu documents sometimes contain pre-computed page thumbnails.
Outline
DjVu documents sometimes contain a navigation chunk containing an outline, that is, a
hierarchical table of contents with pointers to the corresponding document pages.
DJVUZONE AND DJVULIBRE
The DjVu technology was initially created by a few researchers in AT&T Labs between 1995
and 1999. Lizardtech, Inc. then obtained a commercial license from AT&T and continued
the development. The current owner of the DjVu commercial rights is Cuminas (
https://www.cuminas.jp/en/about_djvu ), offers solutions for producing and distributing
documents using the DjVu technology, as well as a DjVu viewer packaged as a Chrome
extension.
The DjVu.org web site ( http://www.djvu.org ) is managed by the few AT&T Labs researchers
who created the DjVu technology in the first place. We promote the DjVu technology by
providing an independent source of information about DjVu.
Understanding how little room there is for a proprietary document format, Lizardtech
released the DjVu Reference Library under the GNU Public License in December 2000. This
library entirely defines the compression format and the elementary codecs. Six month
later, Lizardtech released an updated DjVu Reference Library as well as the source code of
the Unix viewer.
These two releases form the basis of our initial DjVuLibre software. We modified the
build system to comply with the expectations of the open source community. Various bugs
and portability issues have been fixed. We also tried to make it simpler to use and
install, while preserving the essential structure of the Lizardtech releases.
The DjVuLibre software contains the following components:
bzz(1) A general purpose compression command line program. Many internal DjVu data
structures are compressed using this technique.
c44(1) A DjVuPhoto command line encoder. This state-of-the-art wavelet compressor produces
DjVuPhoto images from PPM or JPEG images.
cjb2(1)
A DjVuBitonal command line encoder. This soft-pattern-matching compressor produces
DjVuBitonal images from PBM images. It can encode images without loss, or
introduce small changes in order to improve the compression ratio. The lossless
encoding mode is competitive with that of the Lizardtech commercial encoders.
cpaldjvu(1)
A DjVuDocument command line encoder for images with few colors. This encoder is
well suited to compressing images with a small number of distinct colors (e.g.
screen-shots). The dominant color is encoded by the background layer. The other
colors are encoded by the foreground layer.
csepdjvu(1)
A DjVuDocument command line encoder for separated images. This encoder takes a
file containing pre-segmented foreground and background images and produces a
DjVuDocument image.
ddjvu(1)
A command line decoder for DjVu images. This program produces a PNM image
representing any segment of any page of a DjVu document at any resolution.
djview(1)
A stand-alone viewer for DjVu images. This sophisticated viewer displays DjVu
documents. It implements document navigation as well as fast zooming and panning.
nsdejavu(1)
A web browser plugin for viewing DjVu images. This small plugin allows for viewing
DjVu documents from web browsers. It internally uses djview to perform the actual
work.
djvups(1)
A command line tool for converting DjVu documents into PostScript .
djvm(1)
A command line tool for manipulating bundled multi-page DjVu documents. This
program is often used to collect individual pages and produce a bundled document.
djvmcvt(1)
A command line tool for converting bundled documents to indirect documents and
conversely.
djvused(1)
A powerful command line tool for manipulating multi-page documents, creating or
editing annotation chunks, creating or editing hidden text layers, pre-computing
thumbnail images, and more...
djvutxt(1)
A command line tool to extract the hidden text from DjVu documents.
djvudump(1)
A command line tool for inspecting DjVu files and displaying their internal
structure.
djvuextract(1)
A command line tool for dis-assembling DjVu image files.
djvumake(1)
A command line tool for assembling DjVu image files.
djvuserve(1)
A CGI program for generating indirect multi-page DjVu documents on the fly.
djvutoxml(1), djvuxmlparser(1)
Command line tools to edit DjVu metadata as XML files.
DJVU ENCODERS AND ANY2DJVU
DjVuLibre comes with a variety of specialized encoders, c44(1) for photographic images,
cjb2(1) for bitonal images, and cpaldjvu(1) for images with few distinct colors. Although
these encoders perform well in their specialized domain, they cannot handle complex tasks
involving segmentation and multipage encoding.
The Lizardtech commercial products (see http://www.lizardtech.com/solutions/document) can
perform these complex encoding tasks
Another solution is provided by the compression server at (http://any2djvu.djvu.org).
This machine uses pre-lizardtech prototype encoders from AT&T Labs and performs almost as
well as the commercial Lizardtech encoders. Please note that the Any2DjVu compression
server comes with no guarantee, that nothing is done to ensure that your documents will
remain confidential, and that there is only one computer working for the whole planet.
CREDITS
Numerous people have contributed to the DjVu source code during the last five years.
Please submit a sourceforge bug report to update the following list.
Yoshua Bengio, Léon Bottou, Chakradhar Chandaluri, Regis M. Chaplin, Ming Chen, Parag
Deshmukh, Royce Edwards, Andrew Erofeev, Praveen Guduru, Patrick Haffner, Paul G.
Howard, Orlando Keise, Yann Le Cun, Artem Mikheev, Florin Nicsa, Joseph M. Orost,
Steven Pigeon, Bill Riemers, Patrice Simard, Jeffery Triggs, Luc Vincent, Pascal
Vincent.