What is an image?
The SDSS telescope uses a CCD (charged coupled device) camera to
record images of the sky. A CCD is a device that turns light into
electronic signals. When light hits a CCD camera, the CCD records
a signal; the brighter the light, the stronger the signal.
|
The SDSS's camera consists of
six columns of five CCDs each |
The SDSS's CCD camera is one of the most sensitive ever built.
The SDSS camera uses
30 CCDs, arranged in six columns, to record images. Each column contains
5 CCDs that record a strip of the sky in five wavelengths of light.
Each CCD consists of a 2048 by 2048 grid of pixels, or single points in the
image.
The electronic image that the CCD records consists of a grid of these pixels. Each
entry in the grid includes the pixel's x-coordinate, its y-coordinate, and
the number of photons, or "counts," that hit that pixel
during the camera's exposure time. Image processing software reads the data
and assigns each pixel a shade of gray (or a color) depending on the
number of counts.
Here is an example of how the data might look for part of an image from
one of SDSS's CCDs:
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
2 |
4 |
3 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
5 |
5 |
7 |
4 |
1 |
0 |
0 |
0 |
0 |
1 |
3 |
6 |
8 |
9 |
8 |
8 |
4 |
1 |
0 |
0 |
0 |
0 |
2 |
7 |
9 |
9 |
9 |
7 |
5 |
2 |
0 |
1 |
0 |
1 |
3 |
6 |
7 |
6 |
7 |
5 |
3 |
1 |
0 |
0 |
0 |
0 |
1 |
5 |
5 |
4 |
3 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
2 |
3 |
3 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
An image processing program would assign a color to each value in the grid.
For example, the integers 0 and 1 might be black. The integers 2 and
3 might be a very dark gray, up to the integers 9 and 10, which could be
white. The program could also display each integer as
a different color. Below is one possible way of displaying this
image:
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
1 |
1 |
0 |
1 |
0 |
0 |
0 |
1 |
2 |
2 |
4 |
3 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
2 |
4 |
5 |
5 |
7 |
4 |
1 |
0 |
0 |
0 |
0 |
1 |
3 |
6 |
8 |
9 |
8 |
8 |
4 |
1 |
0 |
0 |
0 |
0 |
2 |
7 |
9 |
9 |
9 |
7 |
5 |
2 |
0 |
1 |
0 |
1 |
3 |
6 |
7 |
6 |
7 |
5 |
3 |
1 |
0 |
0 |
0 |
0 |
1 |
5 |
5 |
4 |
3 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
2 |
3 |
3 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
You could then look at this color pattern with a computer image processing
program.
A real image would have many more pixels and would use substantially more
than 10 colors. The way that image processing programs display the image is the same,
however. |