3 Maintainer: Carlo Baldassi <carlobaldassi@gmail.com>
4 Build-Depends: debhelper (>= 5.0.62), autotools-dev, xsltproc, docbook-xsl, docbook-xml, pkg-config, libglib2.0-dev (>= 2.0.0)
5 Standards-Version: 3.7.3
7 Homepage: http://liblqr.wikidot.com/
9 Package: liblqr-1-0-dev
12 Depends: liblqr-1-0 (= ${binary:Version})
14 Conflicts: liblqr-dev, liblqr1, liblqr1-dev
15 Description: converts plain array images into multi-size representation (developments files)
16 The LiquidRescale (lqr) library provides a C/C++ API for performing
17 non-uniform resizing of images by the seam-carving technique.
19 The library takes images in plain array format as input and converts
20 them to a multi-size representation.
22 Following is a list of features:
24 * Areas in the image can be marked for preservation or discard
25 * Once the image has been fully processed, the scaling can be done
26 in real-time. In fact, the information can be saved and read out
27 later without any further processing
28 * The resizing is done with a single function which automatically
29 performs all the necessary operations; it can also work in
30 successive steps without wasting computational time
31 * Possibility to tune the carving operation by letting the seams be
32 less connected, or more rigid, or both
33 * Can export and import the visibility map (the seams)
34 * Other images can be attached and undergo the same carving process
36 * The automatic feature detection algorithm can be tuned by
37 selecting among different energy gradient functions
38 * Reports progress through a customizable interface
39 * A signalling system permits to cleanly handle errors
41 The library implements the algorithm described in the paper "Seam
42 Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel
43 Shamir, which can be found at
44 http://www.faculty.idc.ac.il/arik/imret.pdf
46 This package contains the development files.
51 Depends: ${shlibs:Depends}, ${misc:Depends}
52 Conflicts: liblqr1, liblqr1-dev
53 Description: converts plain array images into multi-size representation
54 The LiquidRescale (lqr) library provides a C/C++ API for performing
55 non-uniform resizing of images by the seam-carving technique.
57 The library takes images in plain array format as input and converts
58 them to a multi-size representation.
60 Following is a list of features:
62 * Areas in the image can be marked for preservation or discard
63 * Once the image has been fully processed, the scaling can be done
64 in real-time. In fact, the information can be saved and read out
65 later without any further processing
66 * The resizing is done with a single function which automatically
67 performs all the necessary operations; it can also work in
68 successive steps without wasting computational time
69 * Possibility to tune the carving operation by letting the seams be
70 less connected, or more rigid, or both
71 * Can export and import the visibility map (the seams)
72 * Other images can be attached and undergo the same carving process
74 * The automatic feature detection algorithm can be tuned by
75 selecting among different energy gradient functions
76 * Reports progress through a customizable interface
77 * A signalling system permits to cleanly handle errors
79 The library implements the algorithm described in the paper "Seam
80 Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel
81 Shamir, which can be found at
82 http://www.faculty.idc.ac.il/arik/imret.pdf
84 This package contains the shared library.
86 Package: liblqr-1-0-dbg
90 Depends: ${shlibs:Depends}, ${misc:Depends}, liblqr-1-0 (= ${binary:Version})
91 Conflicts: liblqr1, liblqr1-dev
92 Description: converts plain array images into multi-size representation (debug package)
93 The LiquidRescale (lqr) library provides a C/C++ API for performing
94 non-uniform resizing of images by the seam-carving technique.
96 The library takes images in plain array format as input and converts
97 them to a multi-size representation.
99 Following is a list of features:
101 * Areas in the image can be marked for preservation or discard
102 * Once the image has been fully processed, the scaling can be done
103 in real-time. In fact, the information can be saved and read out
104 later without any further processing
105 * The resizing is done with a single function which automatically
106 performs all the necessary operations; it can also work in
107 successive steps without wasting computational time
108 * Possibility to tune the carving operation by letting the seams be
109 less connected, or more rigid, or both
110 * Can export and import the visibility map (the seams)
111 * Other images can be attached and undergo the same carving process
113 * The automatic feature detection algorithm can be tuned by
114 selecting among different energy gradient functions
115 * Reports progress through a customizable interface
116 * A signalling system permits to cleanly handle errors
118 The library implements the algorithm described in the paper "Seam
119 Carving for Content-Aware Image Resizing" by Shai Avidan and Ariel
120 Shamir, which can be found at
121 http://www.faculty.idc.ac.il/arik/imret.pdf
123 This package contains the debug information of shared library found in