1 - LRGB technique
The bacic function of a dispersive spectrograph is to sample the spectrum with many distinct detectors. For exemple for the R=3000 spectrograph describes elsewhere in this site, the spectrum is sampled by the CCD pixels. Each one can be regarded as a distinct detector. In the present case there are 768 pixels according to the direction of the spectrum (KAF-0400 CCD) and consequently one thus says that the spectrum is sampled by 768 spectral channels.
By considering these definitions, it appears that the images realized by tri-colors method are comparable to a spectrograph in which the number of spectral channels is limited to 3. So, the spectral resolution is very weak. The typical bandwidth of a colored RGB filter is typically 1000 A, which gives a resolution power of R=5000/1000 = 5. It is however sufficient to make good physics.
Good visualization of data is an essential step for interpretation. So, we describe here a popular technique, LRGB, which appreciably improve appearance of "true color" images.
It is first of all necessary to obtain three images carried out through filters R (red), G (Green) and B (Blue) which have if possible a high signal-to-noise ratio (S/B). On the other hand these images can not have an excellent spatially resolution (typically images obtained in binning 2x2 mode in order to increase the S/N ratio). The principle is to combine with RGB images a new image which has a high spatial resolution (very good seeing and/or binning 1x1 or use of a large instrument or application of the drizzling technique, see below). This image, namely L for Luminance, is normally an image carried out in broad spectral band (grey scale image or white image), generally with no spectral filtration (but if you make images with dioptric objectives, IR blocking filter will remain probably necessary). Another strategy consist to add all separate R, G & B frames in the one high signal-to-noise L image.
The final image (LRGB) associates the point like aspect of the L image with the high S/B color contents of the RGB images. The result is a more esthetic image and especially, containing appreciably more useful information. It is significant to note that the weak resolution of RGB images has a weak apparent impact on final LRGB composite.
Before being able to combine the images L, R, G and B it is necessary to carry out calibrations. It is important in first to have correct R to G to B ratios to represent natural images (color balancing). One needs also a same scale for the the images L, R, G, B and a precise registration between these components. All this can be done with your favorite image processing software.
A key technique for combination of the LRGB components is to convert the traditional RGB representation of the true color image to the HSI space (Hue, Saturation, Intensity space). This convertion produce three images. The hue image correspond to the dominant colors (color tone), the saturation image correspond to the purity of colors and the intensity correspond to the magnitude of the signal in the colored image.
I) In the hue image, pixels that are predominantly red in the trichromatic image will be represented by high levels, pixels that are predominantly green will be represented by intermediate levels, and pixels that are predominantly blue will be represented by low intensity levels. If the levels are represented by the angles from 0° to 360°, red corresponds to 0°, green to 120°, blue to 240°, red again to 360°.
II) In the saturation image the areas of the tri-colors image where the colors are purest will be represented by the high levels. Low saturation results in a gray aspect images, middle saturation produces pastels and high saturation results in vivid colors.
III) The intensity image is the one that most resembles each of the monochromatic components of the tri-colors image. This image expresses the average intensity of the three components in a gray scale.
Colorimetric transformation is a powerful tool that can profoundly modify
the appearance of color images. In particular, the HSI representation
is often used in science to enhance specific colored details in an image.
If they are properly used, transformations between the HSI and the RGB
systems allow you to reveal subtle colored characteristics in images and
thus make them easier to interpret.
My combination of Schott glass for the BVRIZ spectral bands is the following (photometric studies quality):
* B band : BG12 (1 mm) + CG385 (2 mm) + BG18 (1 mm)
* V (or G) band : GG495 (2 mm) + BG 18 (2 mm) + WG305 (1 mm)
* R band : OG570 (2 mm) + KG3 (2 mm)
* I band : RG9 (3 mm) + WG305 (1 mm)
* Z band : RG1000 (3 mm) + WG305 (1 mm)