Package
liblqr-1-0Version
0.4.2-2Priority
optionalSection
libsSource
liblqrOrigin
UbuntuMaintainer
Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>Original Maintainer
Bernd Zeimetz <bzed@debian.org>Bugs
https://bugs.launchpad.net/ubuntu/+filebugInstalled Size
137 kBPre Depends
multiarch-supportDepends
libc6 (>= 2.2.5), libglib2.0-0 (>= 2.24.0)Homepage
http://liblqr.wikidot.com/Task
ubuntu-desktop, ubuntu-usb, print-server, kubuntu-desktop, edubuntu-desktop, edubuntu-usb, xubuntu-core, xubuntu-desktop, mythbuntu-frontend, mythbuntu-desktop, lubuntu-core, ubuntustudio-desktop-core, ubuntustudio-desktop, ubuntu-gnome-desktop, ubuntu-sdk, ubuntukylin-desktop, ubuntu-mate-core, ubuntu-mate-desktop, ubuntu-mate-cloudtopSupported
5yDownload Size
23.6 kBAPT Manual Installed
noAPT Sources
http://gb.archive.ubuntu.com/ubuntu xenial/main amd64 PackagesDescription
converts plain array images into multi-size representationThe 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.