opencv/doc/tutorials/imgproc/pyramids/pyramids.markdown

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2014-11-27 20:39:05 +08:00
Image Pyramids {#tutorial_pyramids}
==============
Goal
----
In this tutorial you will learn how to:
- Use the OpenCV functions @ref cv::pyrUp and @ref cv::pyrDown to downsample or upsample a given
image.
Theory
------
@note The explanation below belongs to the book **Learning OpenCV** by Bradski and Kaehler. ..
container:: enumeratevisibleitemswithsquare
- Usually we need to convert an image to a size different than its original. For this, there are
two possible options:
1. *Upsize* the image (zoom in) or
2. *Downsize* it (zoom out).
- Although there is a *geometric transformation* function in OpenCV that -literally- resize an
image (@ref cv::resize , which we will show in a future tutorial), in this section we analyze
first the use of **Image Pyramids**, which are widely applied in a huge range of vision
applications.
### Image Pyramid
- An image pyramid is a collection of images - all arising from a single original image - that are
successively downsampled until some desired stopping point is reached.
- There are two common kinds of image pyramids:
- **Gaussian pyramid:** Used to downsample images
- **Laplacian pyramid:** Used to reconstruct an upsampled image from an image lower in the
pyramid (with less resolution)
- In this tutorial we'll use the *Gaussian pyramid*.
#### Gaussian Pyramid
- Imagine the pyramid as a set of layers in which the higher the layer, the smaller the size.
![image](images/Pyramids_Tutorial_Pyramid_Theory.png)
- Every layer is numbered from bottom to top, so layer \f$(i+1)\f$ (denoted as \f$G_{i+1}\f$ is smaller
than layer \f$i\f$ (\f$G_{i}\f$).
- To produce layer \f$(i+1)\f$ in the Gaussian pyramid, we do the following:
- Convolve \f$G_{i}\f$ with a Gaussian kernel:
\f[\frac{1}{16} \begin{bmatrix} 1 & 4 & 6 & 4 & 1 \\ 4 & 16 & 24 & 16 & 4 \\ 6 & 24 & 36 & 24 & 6 \\ 4 & 16 & 24 & 16 & 4 \\ 1 & 4 & 6 & 4 & 1 \end{bmatrix}\f]
- Remove every even-numbered row and column.
- You can easily notice that the resulting image will be exactly one-quarter the area of its
predecessor. Iterating this process on the input image \f$G_{0}\f$ (original image) produces the
entire pyramid.
- The procedure above was useful to downsample an image. What if we want to make it bigger?:
- First, upsize the image to twice the original in each dimension, wit the new even rows and
columns filled with zeros (\f$0\f$)
- Perform a convolution with the same kernel shown above (multiplied by 4) to approximate the
values of the "missing pixels"
- These two procedures (downsampling and upsampling as explained above) are implemented by the
OpenCV functions @ref cv::pyrUp and @ref cv::pyrDown , as we will see in an example with the
code below:
@note When we reduce the size of an image, we are actually *losing* information of the image. Code
======
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ImgProc/Pyramids.cpp)
@code{.cpp}
#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include <math.h>
#include <stdlib.h>
#include <stdio.h>
using namespace cv;
/// Global variables
Mat src, dst, tmp;
char* window_name = "Pyramids Demo";
/*
* @function main
*/
int main( int argc, char** argv )
{
/// General instructions
printf( "\n Zoom In-Out demo \n " );
printf( "------------------ \n" );
printf( " * [u] -> Zoom in \n" );
printf( " * [d] -> Zoom out \n" );
printf( " * [ESC] -> Close program \n \n" );
/// Test image - Make sure it s divisible by 2^{n}
src = imread( "../images/chicky_512.jpg" );
if( !src.data )
{ printf(" No data! -- Exiting the program \n");
return -1; }
tmp = src;
dst = tmp;
/// Create window
namedWindow( window_name, WINDOW_AUTOSIZE );
imshow( window_name, dst );
/// Loop
while( true )
{
int c;
c = waitKey(10);
if( (char)c == 27 )
{ break; }
if( (char)c == 'u' )
{ pyrUp( tmp, dst, Size( tmp.cols*2, tmp.rows*2 ) );
printf( "** Zoom In: Image x 2 \n" );
}
else if( (char)c == 'd' )
{ pyrDown( tmp, dst, Size( tmp.cols/2, tmp.rows/2 ) );
printf( "** Zoom Out: Image / 2 \n" );
}
imshow( window_name, dst );
tmp = dst;
}
return 0;
}
@endcode
Explanation
-----------
1. Let's check the general structure of the program:
- Load an image (in this case it is defined in the program, the user does not have to enter it
as an argument)
@code{.cpp}
/// Test image - Make sure it s divisible by 2^{n}
src = imread( "../images/chicky_512.jpg" );
if( !src.data )
{ printf(" No data! -- Exiting the program \n");
return -1; }
@endcode
- Create a Mat object to store the result of the operations (*dst*) and one to save temporal
results (*tmp*).
@code{.cpp}
Mat src, dst, tmp;
/* ... */
tmp = src;
dst = tmp;
@endcode
- Create a window to display the result
@code{.cpp}
namedWindow( window_name, WINDOW_AUTOSIZE );
imshow( window_name, dst );
@endcode
- Perform an infinite loop waiting for user input.
@code{.cpp}
while( true )
{
int c;
c = waitKey(10);
if( (char)c == 27 )
{ break; }
if( (char)c == 'u' )
{ pyrUp( tmp, dst, Size( tmp.cols*2, tmp.rows*2 ) );
printf( "** Zoom In: Image x 2 \n" );
}
else if( (char)c == 'd' )
{ pyrDown( tmp, dst, Size( tmp.cols/2, tmp.rows/2 ) );
printf( "** Zoom Out: Image / 2 \n" );
}
imshow( window_name, dst );
tmp = dst;
}
@endcode
Our program exits if the user presses *ESC*. Besides, it has two options:
- **Perform upsampling (after pressing 'u')**
@code{.cpp}
pyrUp( tmp, dst, Size( tmp.cols*2, tmp.rows*2 )
@endcode
We use the function @ref cv::pyrUp with 03 arguments:
- *tmp*: The current image, it is initialized with the *src* original image.
- *dst*: The destination image (to be shown on screen, supposedly the double of the
input image)
- *Size( tmp.cols*2, tmp.rows\*2 )\* : The destination size. Since we are upsampling,
@ref cv::pyrUp expects a size double than the input image (in this case *tmp*).
- **Perform downsampling (after pressing 'd')**
@code{.cpp}
pyrDown( tmp, dst, Size( tmp.cols/2, tmp.rows/2 )
@endcode
Similarly as with @ref cv::pyrUp , we use the function @ref cv::pyrDown with 03
arguments:
- *tmp*: The current image, it is initialized with the *src* original image.
- *dst*: The destination image (to be shown on screen, supposedly half the input
image)
- *Size( tmp.cols/2, tmp.rows/2 )* : The destination size. Since we are upsampling,
@ref cv::pyrDown expects half the size the input image (in this case *tmp*).
- Notice that it is important that the input image can be divided by a factor of two (in
both dimensions). Otherwise, an error will be shown.
- Finally, we update the input image **tmp** with the current image displayed, so the
subsequent operations are performed on it.
@code{.cpp}
tmp = dst;
@endcode
Results
-------
- After compiling the code above we can test it. The program calls an image **chicky_512.jpg**
that comes in the *tutorial_code/image* folder. Notice that this image is \f$512 \times 512\f$,
hence a downsample won't generate any error (\f$512 = 2^{9}\f$). The original image is shown below:
![image](images/Pyramids_Tutorial_Original_Image.jpg)
- First we apply two successive @ref cv::pyrDown operations by pressing 'd'. Our output is:
![image](images/Pyramids_Tutorial_PyrDown_Result.jpg)
- Note that we should have lost some resolution due to the fact that we are diminishing the size
of the image. This is evident after we apply @ref cv::pyrUp twice (by pressing 'u'). Our output
is now:
![image](images/Pyramids_Tutorial_PyrUp_Result.jpg)