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Name

ccdrgb - create composite RGB color images from multiple input images

Synopsis

ccdrgb [parameter=value]

Description

No description available. This manual page was created by mkman

To convert an RGB into a greyscale image, there are some general practices: 

   Y = .2126 * R^gamma + .7152 * G^gamma + .0722 * B^gamma
where gamma = 2.2 typically. This is the Y in XYZ color space. Followed by 
   L* = 116 * Y ^ 1/3 - 16
in LAB color space, where L* "... aspires to perceptual uniformity ... closely matches human perception of lightness."

Parameters

The following parameters are recognized in any order if the keyword is also given:
in1=
Input Red image [???]
in2=
Input Green image [???]
in3=
Input Blue image. If none supplied, the middle channel is computing from the other two, using c=.
out=
Output image file [???]
c=
color composition index RGB=(A, B+c*A, B) if only 2 images are used. [0.5]
range1=
Range in image 1 to map. By default the full ranges are used.
range2=
Range in image 2.
range3=
Range in image 3.
bw=
If given, scale factors for BW image creation
nbench=
Benching OpenMP [1]

Examples

The command line version of FITS liberator is easy to use in combination with NEMO tools. 
#    mean       sigma    wav  mean/sigma    min max
1  0.228899   0.050121   090   4.57   -3.453089 2194.037842
2  0.273568   0.046089   150   5.94   -2.816395 1438.471313 
3  0.220265   0.041095   200   5.36   -2.520102 1421.706177
4  0.133996   0.037056   277   3.62   -0.118913 323.830872 
5  0.143088   0.023680   356   6.04   -0.005641 283.265594
6  0.378302   0.022430   444  16.87    0.000000 312.359680
first of all, all maps need to be smoothed to the same beam,
since they are  diffraction limited.
After this they should be scaled to the same noise (sigma)
asinh(x) = ln(x + sqrt(x*x+1))
fitscli  -i map1.fits -o junk5.tiff -s asinh -k 10 -p 1000 -S 50
+--------------------------------------+-------------------------------+
|  -b Black:       -0.635749           |  -w White:       5.396417     |
|  -k Background:  10.000000           |  -p Peak:        1000.000000  |
|  -e Exponent:    0.500000            |  -S Scaled Peak: 50.000000    |
+-----------------+-------------+---------------+-------------+------------+
|  Statistics     |  Min        |  Max          |  Mean       |  StDev     |
+-----------------+-------------+---------------+-------------+------------+
|  Input Image:   |  -3.453089  |  2194.037842  |  0.290447   |  2.277242  |
|  Scaled Image:  |  -0.635749  |  5.396417     |  -0.472900  |  0.036261  |
+-----------------+-------------+---------------+-------------+------------+
fitscli  -i map1.fits -o junk4.tiff -s asinh -k -10 -p 4000 -S 50
+--------------------------------------+-------------------------------+
|  -b Black:       0.081542            |  -w White:       4.007001     |
|  -k Background:  -10.000000          |  -p Peak:        4000.000000  |
|  -e Exponent:    0.500000            |  -S Scaled Peak: 50.000000    |
+-----------------+-------------+---------------+------------+------------+
|  Statistics     |  Min        |  Max          |  Mean      |  StDev     |
+-----------------+-------------+---------------+------------+------------+
|  Input Image:   |  -3.453089  |  2194.037842  |  0.290447  |  2.277242  |
|  Scaled Image:  |  0.081542   |  4.007001     |  0.127890  |  0.013286  |
+-----------------+-------------+---------------+------------+------------+

See Also

ccdmath(1NEMO) , ccdppm(1NEMO) , fitscli(1) 
https://noirlab.edu/public/products/fitsliberator/

Author

Peter Teuben

Update History


8-jun-98    V0.0 ancient version    PJT
10-may-10    V0.1 made it produce something    PJT

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