Image Interpolation with Contour Stencils

Image Interpolation with Contour Stencils Documentation

Image Interpolation with Contour Stencils

Image Interpolation with Contour Stencils

Pascal Getreuer

This software was written by Pascal Getreuer and is distributed under the terms of the simplified BSD licence.

Contents

  1. Overview
  2. Compiling
  3. Program Demo
  4. Program Usage
  5. Simplified BSD License

1. Overview

This package implements the contour stencil windowed interpolation method as described in the accompanying IPOL demo “Image Interpolation with Line-Shaped Contour Stencils.” The method is implemented in C as a command line program cwinterp.

Also included are sources for building imcoarsen, imdiff, and nninterp command line tools for coarsening and comparing images and nearest-neighbor interpolation.

If Doxygen and Graphviz are installed, HTML documentation of the project source code is generated by

doxygen doxygen.conf

2. Compiling

The compilation is configurable. No libraries are required to compile, but in this case, only BMP images are supported. JPEG, PNG, and TIFF support can be added by compiling with the libaries as summarized in the table:

FormatLibraryAdd preprocessor flag
JPEGlibjpegLIBJPEG_SUPPORT
PNGlibpngLIBPNG_SUPPORT
TIFFlibtiffLIBTIFF_SUPPORT
BMP(native)

2.1. Compiling on Linux or Mac OSX

Installing Libraries

On Ubuntu and other Debian-based Linux systems, the libraries can be installed by running the following line in a terminal:

sudo apt-get install build-essential libjpeg libjpeg-dev libpng libpng-dev libtiff libtif-dev

On Fedora:

sudo yum install gcc libjpeg libjpeg-devel libpng libpng-devel libtiff libtiff-devel

On Mac OSX, the libraries can be installed with Fink:

sudo fink install libjpeg libpng libtiff

Compiling

To compile, extract the package, cd into the cwinterp-src folder, and run make:

tar -xf cwinterp-src.tar.gz
cd cwinterp-src
make -f makefile.gcc

This should produce four executables cwinterp, imcoarsen, imdiff, and nninterp.

Troubleshooting

The included makefile will try to use libjpeg, libpng, and libtiff. If linking with these libraries is a problem, they can be disabled by commenting their line at the top of the makefile.

## 
# The following three statements determine the build configuration.
# For handling different image formats, the program can be linked with
# the libjpeg, libpng, and libtiff libraries.  For each library, set
# the flags needed for linking.  To disable use of a library, comment
# its statement.  You can disable all three (BMP is always supported).
LDLIBJPEG=-ljpeg
LDLIBPNG=-lpng
LDLIBTIFF=-ltiff

The makefile will automatically set the corresponding preprocessor symbols; only these lines need to be changed. For example, to disable libjpeg and libtiff but to keep libpng support, comment the first and third lines

#LDLIBJPEG=-ljpeg
LDLIBPNG=-lpng
#LDLIBTIFF=-ltiff

2.2. Compiling on Windows

The code can be compiled using Microsoft Visual C++ (MSVC). Microsoft Visual Studio Express can be downloaded for free. Since libraries are problematic under Windows, no libraries are used by default and the program will only support BMP images.

These instructions assume familiarity with the MS-DOS Command Prompt. See for example How to use DOS.

Compiling without Libraries (BMP only)

First, open a command prompt with the visual studio environment by clicking Start Menu → Microsoft Visual Studio → Visual Studio Tools → Visual Studio Command Prompt. (Alternatively, open a regular command prompt and run the vcvarsall.bat.) To compile, use cd to navigate into the cwinterp-src folder and run nmake:

cd c:\projects\cwinterp-src
nmake -f makefile.vc all

This should produce four executables cwinterp.exe, imcoarsen.exe, imdiff.exe, and nninterp.exe.

Compiling with Libraries (JPEG and PNG)

It is possible under Windows to compile the program with libjpeg and libpng to add support for JPEG and PNG images (libtiff should be possible as well, but it is not explored here). To avoid incompatibility problems, the reliable way to compile with a library is to build that library from source using the same compiler.

First, download the libjpeg, libpng, and also the zlib library sources. The zlib library is needed to compile libpng.

Create a folder to contain the libraries, C:\libs for instance. Unzip the library sources into the libs folder so that they are structured as

libs 
    jpeg-8b
   
    lpng143
  
    zlib
  

This structure will help keep the code organized. Take care to rename the folder for zlib to “zlib” since libpng will look for it. Below are the steps to build each library. If you want JPEG support, build libjpeg. For PNG support, build zlib first and then build libpng.

Building libjpeg

  1. Rename jconfig.vc to jconfig.h.
  2. Open a Visual Studio Command Prompt by clicking Start Menu → Microsoft Visual Studio → Visual Studio Tools → Visual Studio Command Prompt, or open a regular command prompt and run the vcvarsall.bat. Navigate into libs\jpeg-8b and run
    nmake -f makefile.vc libjpeg.lib
    
    This should produce libjpeg.lib.

Building zlib

  1. Change zconf.h line 287 to “#if 0,”
    287  #if 0                    /* HAVE_UNISTD_H -- this line is updated by ./configure */
    288  #  include <sys/types.h> /* for off_t */
    289  #  include <unistd.h>    /* for SEEK_* and off_t */
    
  2. Open a Visual Studio Command Prompt (see step 2 for libjpeg), go into zlib\projects\visualc6, and run
    vcbuild -upgrade zlib.dsp
    vcbuild zlib.vcproj "LIB Release|Win32"
    
    This should produce a folder “Win32_LIB_Release” containing zlib.lib.
  3. Copy zconf.h, zlib.h, and zlib.lib to libs\zlib (libpng will look here).

Building libpng

  1. First build zlib.
  2. Change -MD to -MT in CFLAGS in lpng143\scripts\makefile.vcwin32
    CFLAGS  = -nologo -DPNG_NO_MMX_CODE -MT -O2 -W3 -I..\zlib
    
  3. From a Visual Studio Command Prompt, go into lpng143 and run
    nmake -f scripts\makefile.vcwin32
    
    This should produce libpng.lib.

Once the libraries are built, cwinterp can be compiled with JPEG and/or PNG support by adjusting its makefile. Uncomment and edit the lines at the top of cwinterp-src\makefile.vc to reflect the locations of libjpeg, libpng, and zlib:

#
# Uncomment and edit the following lines for JPEG support.
#
LIBJPEG_DIR     = "C:/libs/jpeg-8b"
LIBJPEG_INCLUDE = -I$(LIBJPEG_DIR)
LIBJPEG_LIB     = $(LIBJPEG_DIR)/libjpeg.lib

#
# Uncomment and edit the following lines for PNG support.  
#
ZLIB_DIR     = "C:/libs/zlib"
ZLIB_INCLUDE = -I$(ZLIB_DIR)
ZLIB_LIB     = $(ZLIB_DIR)/zlib.lib
LIBPNG_DIR     = "C:/libs/lpng143"
LIBPNG_INCLUDE = -I$(LIBPNG_DIR)
LIBPNG_LIB     = $(LIBPNG_DIR)/libpng.lib

The makefile will automatically add the corresponding preprocessor symbols based on which libraries are defined. Then from a Visual Studio Command Prompt, compile with

nmake -f makefile.vc all

This should produce cwinterp.exe, imcoarsen.exe, imdiff.exe, and nninterp.exe with compiled support for JPEG and/or PNG.

Under the approach shown here, libraries are statically linked. The executables do not depend on libjpeg, libpng, or zlib DLL files, so they should still work if transferred to another Windows machine.

3. Program Demo

A script called “demo” is included to run an example interpolation with the program. There is also an equivalent BAT program for MS-DOS.

demo   sh script (UNIX)
demo.bat MS-DOS batch script (Windows)

To run the demo, open a terminal, navigate to the cwinterp-src directory, and enter the command ./demo (UNIX) or demo.bat (Windows).

Image credits: the demo test image is by John D. Willson, USGS Amphibian Research and Monitoring Initiative.

4. Program Usage

The usage syntax for cwinterp is

cwinterp [options] <input file> <output file>

where <input file> is the file name of the image to be interpolated, and <output file> is the file name to use for saving the interpolated image.

Sorry, only BMP/JPEG/PNG/TIFF images are supported.

The program only supports BMP, JPEG, PNG, and TIFF images. If you disabled some of the libraries when compiling, the support for the corresponding formats will be disabled. Regardless of compilation settings, the program always supports Windows Bitmap BMP images.

To use an image that is in an unsupported format, please convert it to a supported format. Images can be conveniently converted using the command line program convert from ImageMagick. Alternatively, an image can be converted by opening the image in an image editor, selecting “Save As...,” and setting “Type” to a supported format.

The program has several option arguments

-x <number>   the scale factor (may be non-integer)
-p <number> the blur size, σh, of the point spread function
-g <grid> grid to use for resampling, choices for <grid> are
  
centered   grid with centered alignment (default)
topleft the top-left anchored grid
-s show the estimated orientations instead of interpolating
-t <number> στ, spread of φ in the tangential direction
-n <number> σν, spread of φ in the normal direction
-r <number> the number of refinement passes
-q <number> quality for saving JPEG images (0 to 100), this option has no effect on other image formats and is only present if compiled with libjpeg

For example, to run the program on “frog.bmp” with factor-4 scaling, σh = 0.35, and 2 refinement passes, run

cwinterp -x 4 -p 0.35 -r 2 frog.bmp frog-4x.bmp

The scale factor may be non-integer. The size of the output image is determined by multiplying the input image size with the scale factor and rounding up.

This package also includes two tools, imcoarsen and imdiff. The imcoarsen tool coarsens an input image by convolving with a Gaussian followed by downsampling. The imdiff tool compares two images with various image metrics. These tools are useful for interpolation experiments: a high-resolution image is given to imcoarsen to create a coarse image, the coarse image is interpolated by linterp, and the interpolation is compared to the original using imdiff.

The usage syntax of imcoarsen is

imcoarsen [options] <input file> <output file>

Options:

-x <number>   the coarsening factor (≥1.0, may be non-integer)
-p <number>   σh, the blur size of the point spread function
-b <ext>   extension to use for boundary handling, choices for <ext> are
 constconstant extension
 hsymhalf-sample symmetric
 wsymwhole-sample symmetric
-g <grid>   grid to use for resampling, choices for <grid> are
 centeredgrid with centered alignment (default)
 topleftthe top-left anchored grid
-q <number> quality for saving JPEG images (0 to 100).

Note that the -x, -p, -b, and -g options are analogous to the same options in linterp. The coarsening factor given with option -x may be non-integer. The size of the output image is determined by dividing the input image size by the coarsening factor and rounding up.

The usage syntax of imdiff is

imdiff [options] <exact file> <distorted file>

Options:

-m <metric>   metric to use for comparison, choices are
 maxmaximum absolute difference, maxn |An − Bn|
 msemean squared error, 1/N sum |An − Bn|2
 rmseroot mean squared error, (MSE)½
 psnrpeak signal-to-noise ratio, −10 log10(MSE/2552)
 mssim   mean structural similarity index
-s   compute metric separately for each channel
-p <pad>   remove a margin of <pad> pixels before comparison
-D <number>   D parameter for difference image (explained below)
-q <number> quality for saving JPEG images (0 to 100)

Alternatively, a difference image is generated by the syntax

imdiff [-D <number>] <exact file> <distorted file> <output file>

The difference image is computed as Dn = 255/D (AnBn) + 255/2. Values outside of the range [0,255] are saturated.

The usage information for these programs is also displayed when executing them without arguments.

5. Simplified BSD License

Copyright © 2010–2011, Pascal Getreuer
All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

  • Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
  • Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

 

This material is based upon work supported by the National Science Foundation under Award No. DMS-1004694. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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