Continuing with the pictures from La Hacienda Los Andes
in our the last tripNGC 292 description of processingCamera
: Canon 5DIII - Filtro Type ITelescope
: Takahashi FSQ-106EDX - Focal Lengh 530 mm - f/5Images
: 41 x 5 minutos, 10 x 1 minuto, 10 x 15 segundos, 10 x 5 segundos. ISO 1600Total time
: 3 horas y 37 minutosCredits
: José Joaquín Pérez, Ezequiel Bellocchio, Daniel Verschatse, Adriana Fernández, Sergio De la Fuente e hijo, Leonardo Julio, Carlos Milovic y Alejandro Tombolini.Program
The picture is going to be and HDRComposition of four images (300 seconds, 60 seconds, 15 seconds and 5 seconds). The choise of doing a HDR is due to de cluster, which lost information in the core in long exposure pictures, then HDRComposition tool will replace that information, using the data from the lower exposure pictures.
Having lights, flats, darks and bias for each of the series, first I open Blink and select lights to detect posibles imperfect images to be eliminated (moved or out of focus).
At the same time I choose the best image to be use as reference image for alignment and integration. It also can be determinated with SubframeSelector Script.
The best one is image 28
In BatchPreprocessingScript Add Bias, Darks, Flats and Lights for each one of the series and will obtain four integrations
Now I use StarAlignment tool to register the four frames
and now it is necesary adjust the images before to HDR Composition. First a crop of the images:
Canon banding will be eliminated with CBR in horizontal and rotating the image 90° to apply also in vertical. After that, DBE. Both process to each one of the images.
Visualized with STF looks similar, even with different exposure time, because the stretching is also different in each image.
Finally HDRCompositon tool. The idea is to replace the pixels of the cluster:
Then, I define a preview in the cluster and indicate it in HDRCompositon tool as area of interest
As result we obtain three masks and the image HDR. Comparing with the five minute integration can be seen how was recovered the information in the core of the cluster
Define a preview of the background to be used as Reference Image in BackgroundNeutralization Tool
After that, ColorCalibration using the same preview as Reference image in Background Reference and the HDR image as Reference image in White Reference
DynamicPSF to generate the PSF to be use in Deconvolution tool
First try with Deconvelution in a preview. Can be seen as some bright stars are affected in the core, then generate a star mask with StarMask tool with values by default to protect those stars
Protecting stars apply Deconvolution. See changes in the core of the cluster
First Masket Stretch with 100 iteration y TargetMedian 0,2. I have performed Masked Stretch in a clone of the image that late will delete to avoid that PI remember all the iterations when saving the project.
After Masked Stretch, apply HDRMT with the object of improve details in stars in the core of de cluster
Second Masked Stretch, but now TargetMedian 0,4
HT to clip shadow a little.
Extract luminance from the image and apply HT for stretch and ATrousWaveletTransform to smooth a little. This mask is going to be used with CurvesTransformation
First protecting background with Lmask to increase saturation an color in the galaxy
And then inverting the Lmask to protect the galaxy an decrease "c"
SCNR to remove the green
There are areas that I want to highlight, mainly the faint nebulaes between the stars. For that I will work increasing saturation in those nebulaes.
Remove stars: First, clone the image and clone the clone. Apply to HDR_clone_clone to obtain the image with stars and some nebulae's structures.
Substract HDR_clone - HDR_clone_clone (the image that only have stars)
Make a clone of the image without stars and smooth it using ATWT in differents layer, decreasing or increasing the relative weight of wavelet in layers of different sizes
Now apply ATWT again in layers from 32, 64 and 128 pixels having as target the RGB channels to increase the contraste of that regions and protecting background with Lmask
Saturation of the nebulaes protecting background with Lmask
With PixelMath add the image without stars and its clone with nebulaes highlighted.
Come back to the image that only have stars and saturate
Next step is to recover the image, adding the stars and the nubulae with PixelMath, applying over the original image and protecting the background with Lmask.
HistogramTransformation transfering the STF on the base of HT Tool and apply protecting background with Lmask.
Too much work in saturation generate some issues in stars that will be corrected with ACDNR applied to chrominance
As I do not want to eliminate completely the green in the galaxy, I will apply SCNR with a mask made with G channel. Extract G and increase contrast with LHE and Curves. After that apply SCNR protecting the galaxy.
UnsharpMask to increase details, protecting the background with Lmask. (I like the definition in the center of the cluster and what can be achieved with HDRComposition)
Last color touch protecting background with Lmask
Resample for web publication
Addition of the name
Final Image:Full resolution for downloadEdit: Verylargeimage
warning 17 MB