liblqr 0.4.2-ok2 source package in openKylin

 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 one 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.

 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 one 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 development files.