| Paketname | liblqr-1-0 | 
| Beschreibung | converts plain array images into multi-size representation | 
| Archiv/Repository | Offizielles Debian Archiv squeeze (main) | 
| Version | 0.4.1-1 | 
| Sektion | libs | 
| Priorität | optional | 
| Installierte Größe | 128 Byte | 
| Hängt ab von | libc6 (>= 2.1.3), libglib2.0-0 (>= 2.12.0) | 
| Empfohlene Pakete |  | 
| Paketbetreuer | Bernd Zeimetz  | 
| Quelle | liblqr | 
| Paketgröße | 35124 Byte | 
| Prüfsumme MD5 | b47c4317d594d10a0380be888cde1406 | 
| Prüfsumme SHA1 | 6b39df0e5fdfcecbc1390c27eac419b784b35fb7 | 
| Prüfsumme SHA256 | 53fb9f6c4eb5b541ded25a0cc2db329ae95b8d065886cd819404472e2a8de59c | 
| Link zum Herunterladen | liblqr-1-0_0.4.1-1_i386.deb | 
| Ausführliche Beschreibung | The LiquidRescale (lqr) library provides a C/C++ API for performing
non-uniform resizing of images by the seam-carving technique.
.
The library takes images in plain array format as input and converts
them to a multi-size representation.
.
Following is a list of features:
.
  * Areas in the image can be marked for preservation or discard
  * Once the image has been fully processed, the scaling can be done
    in real-time. In fact, the information can be saved and read out
    later without any further processing
  * The resizing is done with a single function which automatically
    performs all the necessary operations; it can also work in
    successive steps without wasting computational time
  * Possibility to tune the carving operation by letting the seams be
    less connected, or more rigid, or both
  * Can export and import the visibility map (the seams)
  * Other images can be attached and undergo the same carving process
    as the parent image
  * The automatic feature detection algorithm can be tuned by
    selecting among different energy gradient functions
  * Reports progress through a customizable interface
  * A signalling system permits to cleanly handle errors
.
The library implements the algorithm described in the paper "Seam
Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel
Shamir, which can be found at
http://www.faculty.idc.ac.il/arik/imret.pdf
.
This package contains the shared library.
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