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djvu(1)                          DjVuLibre-3.5                         djvu(1)




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  com-
       puter-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 comput-
       ers, 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 docu-
       ments at high resolution, particularly color documents.  Not  only  are
       the file sizes and download times impractical, the decoding and render-
       ing 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 swap-
       ping.

       The third reason is that digital documents are more than just a collec-
       tion  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  sequen-
       tial  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 mul-
       tiple  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  par-
       simonious control mechanism to handle on-demand downloading, pre-fetch-
       ing, 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  soft-
       ware  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 tex-
       ture and the pictures at lower resolution.



DJVU DOCUMENT DELIVERY PLATFORM

       The DjVu technology is designed from the ground up to support the effi-
       cient  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  con-
       figured 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  conve-
       nient 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 trans-
       mission 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 prox-
       ies,  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 any-
       where 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 associ-
       ated 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  docu-
       ments 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 out-
       line, 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  commer-
       cial license from AT&T and continued the development. The current owner
       of  the  DjVu  commercial  rights  is   Cuminas   (   https://www.cumi-
       nas.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  for-
       mat,  Lizardtech released the DjVu Reference Library under the GNU Pub-
       lic License in December 2000.  This library entirely defines  the  com-
       pression 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 pre-
       serving the essential structure of the Lizardtech releases.

       The DjVuLibre software contains the following components:

       bzz(1) A general purpose compression command line program.  Many inter-
              nal 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.

       djvu(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.

       djvu(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.

       djvu(1)
              A command line decoder for DjVu images.  This program produces a
              PNM image representing any segment of any page of a  DjVu  docu-
              ment 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  inter-
              nally uses djview to perform the actual work.

       djvups(1)
              A  command  line  tool  for converting DjVu documents into Post-
              Script .

       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 docu-
              ments, creating or editing annotation chunks, creating or  edit-
              ing  hidden  text  layers,  pre-computing  thumbnail images, and
              more...

       djvutxt(1)
              A command line tool to extract the hidden text from  DjVu  docu-
              ments.

       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 pho-
       tographic images, djvu(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/solu-
       tions/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 docu-
       ments  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, Leon 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  Vin-
          cent.



DjVuLibre-3.5                     10/11/2001                           djvu(1)

djvulibre 3.5.28 - Generated Sat Dec 12 09:17:51 CST 2020
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