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Okay, serial 1.4 has been released in
beta just a couple weeks ago. So that
means it's time for a new start to
finish beginners video. But before we
get started, I got a few important
things that I want to talk about. First,
because this is in beta as I'm recording
this video, some things may change once
it does come out of beta. So if you're
watching it further down the road and
you notice some discrepancies in the
video versus what you're actually
seeing, check the description. I'll
leave a note about any major changes
that may affect the way I'm showing you
guys things in this video today. Second,
this is a beginners's video. So, it's
intended for somebody who has never used
serial before, just like my two previous
versions that I've done of this video.
Every time a major release comes out, I
put a beginner's video out for
everybody. So, because of that, we're
going to keep it basic. We're not going
to get into a lot of the more advanced
tools, just something that you can get
to a final image with. I do have a ton
of videos that cover serial. Those of
you that watch the channel already know
that. So once you have this workflow
down, browse the rest of the videos on
my channel so you can learn about those
intermediate to advanced functions. As
the video goes through, watch for cards
like this one that'll pop up and that'll
take you to a video that describes
whatever function that I'm currently
talking about and give you a little bit
more detail on how to use it because
again, we're just keeping things basic
here. And lastly, I've left a link to my
data that I'm using in this tutorial
down in the description so you guys can
download it and kind of follow along if
you prefer to do that. So let's get to
it. My name is Rich and you're watching
Deep Space
[Music]
Astro. Okay, so if you haven't already
downloaded and installed Serial, go to
serial.org, select the operating system
that you're running, download it, and
get it installed. I'm not going to cover
installing it. It's pretty
straightforward. Once you have serial
installed, then the second piece of
software that we want to grab is Staret.
And we're going to use Staret later in
the workflow to remove the stars from
our image like you see right here on
Staret's page. So again,
staretastro.com. I'll leave this link in
the description as well. You want to
click your download button. On the
download page, you just want to scroll
down until you see the command line
tools section. This is what we want. We
don't want anything else that's on this
page. They do have a standalone version.
That's this graphical user interface for
Windows. that will not work for our
implementation within serial. So again,
command line version only. Choose your
operating system. I'm on Windows. So I'm
just going to download that. All right.
And once the download is complete, I'm
going to jump over into my downloads
directory. And this is a zip file. So
rightclick and extract
all. And you'll see we now have a folder
for Staret. I'm going to double click
that to open that one up. And I am going
to move this out of my downloads
directory into a permanent location on
my hard drive. You can place it wherever
you want. Doesn't matter. You just need
to know where you put it because we need
to configure Starnet within serial. So
I'm just going to cut it out of my
downloads directory. And on my C drive,
I have a folder that I call
astrophotography. And that's where I
keep utilities such as this. And I'm
just going to paste it in there. So
that's all you need to do for Staret.
We're ready to configure serial. So,
we're going to run serial so we can get
that configuration done for Staret. It's
going to come later on our workflow, but
just getting everything set up in the
beginning. Once serial opens up, come
over to your burger menu and then click
on
preferences. And if you come down to
miscellaneous, you'll see the section
right here that says must point to a
valid Staret executable. So, just click
on the folder icon and browse out to
where you saved Starnet. So, again, for
me, it was on my C drive under
astrophotography.
There's the Staret folder and there's
the executable. That's what it's looking
for. So, select it, either double click
it or click your open button and you
should see
Staret++.exe. Once that's in place,
click apply and the configuration for
Staret is complete. All right, just real
quick before we continue, I just wanted
to let everybody know that I have also
written a guide and saved it in the PDF
format that follows this workflow that
I'm about to show you. The guide is
available for download for free to all
of my members either here on YouTube or
on buy me a coffee. For the YouTube
members, just go to my main YouTube page
and click on the membership tab. Buy me
a coffee members. There's a shop tab at
the top of the screen. Click on that and
you'll see that the guide is there and
it'll be tagged as free for members. If
you're not a member on YouTube or buy me
a coffee and you prefer not to be,
that's fine. You can purchase it on buy
me a coffee. just go to my buy me a
coffee site and visit the shop tab and
you'll see it there available for
purchase. I'll leave links in the
description below. And also updates to
the guide are always free. So let's get
back to the tutorial and start talking
about how to structure your working
directory for serial. So the next thing
we need to talk about is what's going to
be our working directory. So if I come
back over and show you on my I have a a
second SSD drive in my computer. It's my
D drive and under sessions and then edge
HD and we're going to be working on the
rosette nebullet today. The rosette
folder is going to be my working
directory and we need to set this in
serial before we run the script to start
our stacking. So if I open up my rosette
folder, you'll see I've got four
subfolders within it. Lights, flats,
darks, and biases. And you absolutely
have to have these four folders in your
working directory named as you see them
here. And each of them containing the
respective files. So lights, I have all
my light frames. These are the images
that I took that
night. Flats, I have all my flat frames.
So on and so forth. Darks go in the
darks, biases go on the biases. If you
don't follow this step, you don't have
these in place or you have them named
incorrectly, the script will fail. So
again, for me, my working directory is
going to be my D drive, sessions,
edgehd, and rosette. So that's the first
thing we need to do in serial. So we're
going to come over in serial. You can
see up top my current working directory
is set to just the sessions folder. So
if I come over to the blue house button
and then I'm in sessions. So I'm going
to click on edge HD rosette. There's the
four folders we were just talking about.
Click open. Verify that your working
directory is correct by looking up at
the top middle of the screen. You can
see the path. So that looks good.
Another quick check that you can do to
ensure that you are in the proper
working directory is to click your open
button because it'll open up this
dialogue box right in your working
directory. So you can look up here, say,
"Yep, Rosett's my working directory and
there's my four folders." Hit cancel.
And now we're ready to run the script.
So we're going to come up to our scripts
menu, serial script files, and the OSC
prep-processing script. Now, I'm going
to start this and then I'm going to
cancel it just a few seconds afterwards
because I want to show you guys
something in the console screen. And
this is just for the Windows users. So,
I'm going to go ahead and stop the
process. And if we scroll back up
through the log is this line right here.
You should enable the developer mode in
order to create symbolic links instead
of simply copying files. Again, this is
Windows only. What the script is doing
currently is it's making copies of your
original files during the conversion
process and renaming them. you don't
need to be worried about what it's doing
behind the scenes, but because it's
actually copying that first set of
files, it's taking up additional hard
drive space. If we enable developer
mode, as indicated here, then instead of
copying those files, it'll just create
shortcuts to them. So, it'll minimize
the amount of hard drive space that it's
going to take. So, to enable that again
on Windows, just come to your start
button and you can just start typing
developer and use developer features.
The very first item up top is developer
mode. Just turn that on. Click yes when
it prompts you. So with developer mode
on now, I'm going to run the script
again. So scripts, serial script files,
OSC prep-processing. And depending on
the amount of data that you have, the
speed of your computer, this will take a
few minutes. So I'm going to pause the
video and we'll be right back when it's
finished. Okay, the stacking has
completed as you can see over in our
console window here on the right. First
thing that I want to show you guys, if
we go back into our working directory.
So this is where we had lights, flats,
darks, and biases. We now have a process
directory and we have a masters folder
as well as our final stack which we'll
open here in a minute. So two additional
folders I just wanted you to be aware of
and we'll talk about that at the end of
this tutorial. I just want to make you
aware that the script does create these
two additional folders for now. So back
over into serial and we're going to
click our open button. And there is our
file
result_4140s. The 4140 is the total
acquisition time in seconds of your
data. So obviously your number is going
to be different. I'm going to double
click it to open it. And you will be
presented with a nearly if not
completely all black screen. And this is
completely normal. The data is still in
a linear stage. And that's what our
processing is going to do. We're going
to pull that data up front so we can see
it. So, in order for us to do that, we
need to change our display mode. Our
display mode is this button down here on
the bottom that says linear. As I said,
we're the data is still linear. So, this
is exactly what it looks like at this
point in time. If we change our display
mode from linear into autostretch,
that's the actual data in your completed
stack. Now, again, this is just a
display mode. If I was to save this file
out as a JPEG at this point, it would be
completely black. it would look just
like it does in its linear state. So we
have processing to do. This display mode
is just so we can work on our data
before we get to the stretching piece.
So the first thing we need to do is crop
the image. And we need to crop the image
because along the edges as each of those
individual light frames were stacked
together, you may see some artifacts
from that stacking process. This one
isn't too bad. But to make it easier to
see, I found that if you come out of
auto stretch and you go into histogram,
this extreme histogram view will help
you see those artifacts along the edge.
And it's very faint in this one. This
one wasn't too bad. But all we're going
to do is I'm going to come up to the top
left corner, hold my left mouse button
down, and I'm just going to drag the
selection box all the way across, and
then let go of the left mouse button.
And you can move this around. Just by
holding your left mouse button, you can
move your whole selection around. You
can also adjust the size by grabbing the
handles on either the top, left, or
bottom. And then the same thing on the
corners, right? You can drag the corners
around as well. So once you have that in
a position where it'll remove the
stacking artifacts around the edges,
we're going to rightclick, hit the crop
menu, and then click crop. And our
stacking artifacts are gone. So let's go
back into an auto streretch display. And
the next thing we want to work on is
removing the background gradients. Now,
a background gradient in an image comes
from city light pollution from the moon.
You know, any kind of external light
source that is getting into your image.
And you can see in this one, the top
left corner looks brighter than the
bottom right corner. So, that's what
we're talking about here, removing that
gradient in the image to try to flatten
that background out a little bit. So, we
do that with serial background
extraction. So, we're going to come up
into image processing and background
extraction. There are different
interpolation methods. Leave it in RBF.
That's the best one to use. Smoothing is
the amount of smoothing as it removes
the gradient for you. So once you run
through this process, if you still see a
little bit of a gradient, you can come
back and you can make adjustments to
your smoothing factor. And we'll talk
about samples and grid tolerance here in
just a second. But the first thing I
want you to do is just click your
generate button. And you can see all
these little red squares. These are
sample points for the background
extraction tool to sample the background
of your image and determine where the
gradient is and how to smooth it out.
And that's where the samples per line
and the grid tolerance comes into play.
So default samples per line is 20. If
you were to count any of these rows, you
would have 20 sample points. And the
grid tolerance is basically how it can
detect where it thinks it should be
putting these samples down for you. So
you can see it's mostly on the
background. and it stayed away from the
bright areas of my image. If I was to
bump this down even more and then hit
generate, you can see these ones
disappeared. If I went down even further
and hit generate, even more of them
disappear. If I went all the way over to
the right, it's pretty much going to
light up the whole image getting into
the nebula, which we don't want. So, you
can use the tolerance to help you more
quickly get these sample points down.
But generally the default two works
rather well. But you do need to do some
some editing to these sample points
because again we're talking about
sampling the background of the image. So
anywhere you have a sample point that's
on the object within your image. So the
rosette nebula in my case, I don't want
these sample points sitting on on the
bottom part of the nebula. So I am just
going to rightclick to remove the ones
that I don't want. And then like over
here there is some faint nebulosity
coming down into the corner. So, I want
to clear all these too. Instead of
right-clicking on each individual one, I
can just double click with my right
mouse button. And you can see it kind of
expands and clears those out for me. So,
just kind of a little bit of a shortcut.
Some of the light nebulosity is not that
big of a deal to have a sample point on,
but you really do want to stay off of
the main part of your image, the object
in your image. The other thing that you
want to watch for is sample points that
may have landed on large bright stars.
So, for example, if I had a sample point
right here, that's not good. When it
does the background extraction, it can
cause like dark blotching because of
that sample point being there. So, take
a quick look at your sample points and
make sure none of them encompass any
bright large stars. Once you're happy
with what you have laid down, then we're
going to come back over to the window
and we're just going to hit compute
background. You can see the difference
it made in the image by removing that
background gradient for us. Like I said,
if you still see a bit of a gradient,
you can adjust your smoothing factor up
here and just hit compute background
again. And when you're happy with the
results, just click your apply button.
And the gradient removal is added into
the image. Now, I'm going to run
background extraction one more time just
to talk about the add dither option
right here. Some images, and I've seen
it with my Canon camera. I used to shoot
with a Canon M50. you get these crazy
colors in the background, these waves
that go through your image that look
like this once you click your compute
background. If that's the case, then
just come in and click add dither and
then click compute background again and
it should take away all those those
colors in the background of your image
and leave you with something that's been
correctly calibrated. So, I just wanted
to point that out. So, with background
extraction complete, we're ready to
start color calibrating our image. But
before we do that, we need to plate
solve the image. And what plate solving
is is just identifying where in the sky
this image is at among other things. So
you're going to come up into tools
astrometry and then image plate solver.
Now there's a lot of settings in here.
I'm not going to go over most of them.
Default works for most cases, but the
important ones are our coordinates, our
rate ascension and declination, as well
as our focal length and our pixel size.
And for me, these values have autopop
populated. It autopop populated because
I shot this image with a dedicated
astronomy camera that produces Fitz
files and a Fitz file has a Fitz header.
So, let me show you that real quick. If
I come up in the tools and then fits
header, this is all the information that
is actually stored in my image and it's
actually stored in each individual light
frame that you took that night as well.
So, if I came down to focal length,
there's my focal length that we see
right here in the plate solver.
Scrolling down further, there's our
right ascension and declination, which
are these two values up here. And then
our pixel size is stored in here as
well. So again, that's why all my values
are populated. If you're shooting with a
mirrorless camera or a DSLR, these
values will not be set for you because
there is a header for those type of
files, but they don't store right
ascension and declination. They may or
may not store focal length and pixel
size. It depends. So, if you are
shooting with a DSLR or a mirrorless
camera, you'll need to populate these
fields yourself. So, and that's very
easy to do. So, this is the Rosette
Nebula. So, I'm just going to enter the
catalog number, which is
NGC2244, into the search box and then
click my find button. You'll see it
located. All you need to do is click on
that object and your right ascension and
declination information will be
populated based on that catalog search.
Focal length. This is the focal length
of your telescope. So ensure that that
is correct. I was shooting with my
HyperSar on my Edge HD which gives me a
focal length of 425 mm and then the
pixel size of your camera. So if you
don't know the pixel size of your
camera, a simple Google search should
turn it up for you. So for example, if I
did Canon M50 pixel size, you can see it
and it came right up in the results,
highlighted it for me. This is the AI.
Be careful, right? It's it's a great
tool, but it's not always right. I would
look down on the bottom here to make
sure that it is in fact correct. So 3.72
is my pixel size. So if I was taking
this image with the Canon M50, I would
change this to 3.72. Again, I use a
dedicated astronomy camera. Data was
pulled from my Fitz header that I showed
you. So I'm good with that. Everything
else, don't worry about it. They're more
intermediate to advanced features just
for a simple plate solve. This is all
you need. So just click okay. All right.
So now we'll move into color correcting
the image. So, we're going to come up to
image processing, color calibration, and
phototric color calibration. Default
settings. All you have to do is click
okay, and it'll color correct the image
for you. I think you can see the
difference. If you want to go back and
forth, we have undo and redo buttons
here. So, if I click my undo button,
watching the image, there's the before
color calibration, and then I can redo
it. And there's the after. Okay. So, the
next step is to remove the stars from
the image before we start stretching the
data. Now, this is optional. You don't
have to do this. And this is why we
downloaded and installed Staret at the
beginning of the video. Like I said, you
don't have to do this. You can move
forward and you can stretch your data
with the stars in it. But sometimes as
you're trying to stretch to pull out
maybe some fainter gases around the
edge, the stars will start getting blown
out and they'll get rather large.
There's other ways to fix them. There's
different workflows for everything, but
this is the approach that I always take.
I remove my stars first. So, we're going
to come up into image
processing, star processing, and then
staret star removal. Default settings
again are good, but just make sure that
you have pre-stretch linear image
selected as well as generate star mask
and then click execute. It'll take a few
minutes. You can watch it over in the
console screen. And when it's done,
it'll load the starless image for you.
So, I'm going to once again pause the
video and we'll be right back. All
right, Staret has finished. And as you
can see, we have a starless image on our
screen. So now we're ready to start
stretching it, right? We're still in a
linear state. So now comes the time when
we start to stretch the data. So the
first thing that we're going to do is
change our display mode from autostretch
back into linear. And you can see in the
bottom here we have what are called
visualization sliders. So even though
we're in linear, you may have been
expecting a black image, and you would
be correct. It should be black. If you
take your top slider and move it all the
way over to the right, it'll get us back
to that black that we're looking for.
And that's where we want to work. If you
don't do that, it's fine. When we run
the stretching tools, it should bring
that visualization slider back over to
the right for you. If it doesn't, just
keep an eye on it. Make sure you drag it
back over because it'll make things
difficult if you don't start in this
completely linear view when you're
starting to stretch your data. So, let's
look at the quick and dirty way of doing
it. Although, it's not the best way. So,
come up in the image processing and then
stretches and then histogram
transformation. When I say quick and
dirty, I mean you can simply hit this
little cog wheel over here that says
apply autostretch algorithm. And this is
pretty much the autostretch view that we
had when we changed our display view
down here in the bottom. So if I just
click that button, it'll stretch my data
to match what we saw before. And you can
be done. If that looks good to you,
that's fine. But this auto stretch tends
to be a little too aggressive. More
times than not, it will clip your
shadows. So here's our histogram here,
right? This is the data in our image.
The left side are shadows and the right
side are the are the brighter parts of
the image. Sometimes it'll clip the
blacks. And you can watch your clip
percentage here. You can see right now
it's nothing to worry about. It's 0009.
But if you see anything more than I
would
say.1% it's clipping data. And when it's
clipping data, that means you're losing
some data. The other thing is the image
is just way too bright. We can do better
than this. So generally, especially if
you're clipping data, and I'm not in
this case, but I'm going to go through
the step anyways. If you're clipping
data, we want to start with a different
type of stretch. So I am just going to
hit reset and close. And we'll come back
over into image processing stretches.
And this time we're going to use the as
sign transformation. This is very simple
to use. You're just going to take your
stretch factor and you're going to move
the slider over to the right until you
start to see the data in your image.
Back it down just a little bit. and then
click apply. Now we'll go back to image
processing stretches once more and then
back into our histogram transformation.
And up top here where it says one and
you see the plus button. This is
actually a zoom function for the
histogram view. So if I zoom in, you can
see now I've got more room over here on
the left hand side where previously this
was slammed all the way over to the
left. So now I'm in control of
stretching my blacks so I don't lose any
data like I would if I was going to use
the auto stretch feature. So the button
number one here will reset your zoom.
And then if you notice on the bottom
here we have three triangles. This one
on the left is for our shadows, the
darker parts of our image. The one in
the middle is for our midtones. And the
one all the way over to the right are
for the brightest parts of our image.
Just leave the one on the right slid all
the way over. You don't need to adjust
that one. Start with your midtones. Left
mouse button click and drag it over
towards your histogram and then let it
go. It may look too bright like it does
in my image right now. But again, if we
zoom in to my histogram and I grab my
shadow slider and start moving it
towards the data and bring it right up
to where that curve starts, you can see
the image started to get darker. I don't
want to go too much further than that.
If you watch your clip percentage right
here as I move the slider, you can see
I'm starting to clip data as I go into
the histogram. So that's what I was
talking about. You don't want to start
seeing that number tick up anything more
than 0.1. So we can maybe take this
right to there. We're still at zero. So
there's no data being clipped. Still
looks a little bit bright. So I can take
my midtones and I can start sliding that
back over to the right. Just a little
bit at a time. Just watching the image,
right? I don't want the background
really dark. I don't want the image
really bright. So it's just back and
forth with the sliders to try to get it
to a point where it looks correct. Let
me try and move the blacks over just a
little bit more if I can. If it gets
really touchy like it is for me now, you
can always zoom into your histogram
further. You see, I did clip just a
little bit, but 0013 is nothing to be
concerned with. So, I'm going to run
with that. We're going to click apply.
And now our image is stretched. So, one
thing I wanted to mention too is this.
depending on your computer. If you have
an older computer and it tends to run a
little bit slow and you're doing your
stretching and you're noticing it's not
being very responsive, you have to wait
a second or two for the results to
actually display, you can help speed
things up by using what's called region
of interest. So, if I was to use my left
mouse button and just draw a selection
similar to how we did when we were
cropping and then rightclick ROI and
then click set ROI to selection, you'll
be prompted that this tool does in fact
support it. So that's good. Click okay.
And now as I stretch the data. So let me
reset my zoom. If I move my midtone
slider over towards the data, you can
see that it's only affecting my region
of interest. So it's just focusing. It's
just working on this area right here. So
I can make my adjustments within my
region of interest. And then when I'm
happy and I click apply, these settings
will be applied to the entire image. So
it helps with the slower computers,
larger files, and such. So, I just
wanted to show you guys that as an
option during your stretching. Uh, once
you close it to get rid of the region of
interest selection, just again right
click, hit ROI, and then clear ROI, and
then a single tap of your left mouse
button will take away the selection.
Now, we want to work on increasing the
contrast and brightness of the image.
So, we're going to come up in the image
processing stretches again, and this
time we're going to go into our curves
transformation. And you can spend a lot
of time in here making adjustments. It's
it's a pretty powerful tool because
again we're seeing our histogram. This
is the data that we have in there. We
have the same zoom controls up top. So
we can play with those. So to start
adjusting the contrast and brightness,
I'm going to put a point right there on
the line. And I'm going to left mouse
button press and just pull that down
very slightly. And then I'm going to put
another point over on the right side of
my data and just pull that up slightly.
Take a look and see what I have. If I
like the adjustments, that looks good to
me. And hit apply. And this is an
iterative process, right? So you can
keep going. You can make a further
scurve again just by clicking closer to
your shadows part of your histogram and
then putting a point in the right side
and lifting that up like what you see.
Again, hit apply. You can also just put
a single point right in the center of
the line and pull that up as well, just
so you can see the effect that it has.
This will pretty much take the whole
brightness of the image up. Conversely,
if you pull it the other way, it'll
darken the entire image. So, I'm going
to reset that because I'm happy with the
way that looks. And then close. The
other thing that you can do if you want
to or if you feel there's a need to is
you can increase or even decrease the
saturation in the image. So, if you come
up into image
processing, color saturation, and just
play with your amount slider, right? So,
if I wanted to increase the amount of
saturation globally, which means across
all three channels, red, green, and
blue, I could start bumping this up, and
you'll see the image will start to get
redder for us. You can get really crazy,
right? If we go all the way over this
way, it looks like somebody drew the
image with a crayon. And then, like I
said, you can reduce the saturation as
well. If I hit the reset button, it'll
take me back to where I started. And I
can go the other way and I could
decrease the saturation in the image.
So, I'm going to hit the reset button
one more time. and talk about the hue
selection up here. Like I said, we're in
global, so that means the entire image,
all colors. If you pull the menu up,
pretty self-explanatory, right? If you
just want to work on the pinks and reds,
reds and oranges of the image, if you
have any orange and brown, so you can be
a little bit more specific, a little
more precise with the colors that you're
playing with. So, if I was to do just
the pink, red, red, orange, and move my
slider over, you can see the orange came
out more just by selecting that. So, you
know, play with your hues to get an idea
of what colors are in your image and how
you can increase them. So, I'm going to
go back into global. And actually, I'm
not going to increase the saturation on
this image at all. I I'm happy with the
way that it looks. But again, you know,
if I was to bump it up, just make sure
you hit apply afterwards. And then the
window will close for you. All right.
So, now we're ready to put back in the
stars that we took out earlier in the
workflow. Before you do it, very
important, make sure you come up and you
click your save button to save all those
changes that we just made. Otherwise,
when we open up the next tool, the star
recomposition tool, you'll lose
everything that you just did. So,
obviously, not something that you want
to have happen. So, image is now saved.
We're going to come up in the image
processing, star processing, and then
star recomposition. It's going to prompt
to close our current image. Click yes.
And lots of settings in here as well.
We're going to keep it simple again
because it's a beginner's video. We're
going to come over under our background
stretch parameters.
Click on the folder underneath of it.
And you can see we have two files that
were created when we removed the stars,
right? The starless, which is the one
that we were just working on. And then
there's our star mask. That's just our
stars. We want our starless, right?
That's our background stretch
parameters. Give it a second and you'll
see the starless is loaded back up in
the screen for you. And then on the
right hand side, we're going to hit star
stretch parameters. Same thing, except
this time we're going to select our star
mask file. And the only thing you need
to be worried about, again, just because
we're keeping this a beginner's
tutorial, is the stretch factor
underneath your star mask. So, just
start moving this over. And you'll see
the stars being stretched back into your
image. You can be as gentle or
aggressive with this as you want. If we
come all the way over to the right, you
can see it's really overstretched the
stars. If we leave it closer towards the
left hand side, you'll just see tiny
pinpoints of some of the stars. It'll
leave the rest of them out. So we we're
not stretching that brightness of those
stars completely back into the image. So
preference, right? Just play with the
stretch values to get it to where you
like it. And for me, I'm going to leave
it there. All you need to do is click
the apply button underneath star stretch
and then close. One last thing that you
may need to do is remove any green noise
that may be in the image. Now, you only
need to do this if you look at your
image and specifically in the background
sometimes if you see a slight green
overcast. It's just an artifact of using
a oneshot color camera. If you notice a
little bit of green, it's easily removed
just by coming up to image processing
and then remove green noise. Leave it at
average neutral and then click apply. If
you're not sure, it's not going to hurt
it to run it. And you don't have to run
it if you don't notice the green noise.
The color calibration that we did
previously most of the time will take
care of any kind of a green cast in the
image. But I just wanted to point it out
in case when you get to the step you
still see a little bit of a green tint
to the image, use the remove green noise
tool and that'll take care of it for
you. So that's our final image. You can
see up in the corner here though it says
unsaved star recomposition result. That
means it's not saved as a file. It's
just sitting in serial right now. So we
want to save it. We're going to come
over to our save as button here. And you
can call it whatever you want. It's
going to save it in our working
directory which is the rosette. So I'll
just call it rosette. Click save. 32-bit
floating point is good. Click save. Now
if you look at the file name, it shows
rosette.fit. So now you have a saved
Fitz image of all the work that you just
did. You want to post it up on social
media someplace and you want to save it
off as a JPEG. Same thing. Come over
into save as. I'm going to leave the
name Rossette. And you can either select
your supported files down here in the
menu or just delete the fit and then
type JPG for JPEG. Hit save. Set your
quality. The higher the quality, the
larger the image is going to be. Click
save again. And then if we again jump
over into our working directory, there's
our FIT file we just saved and there's
our JPEG file we just saved. So at this
point, we have some cleanup that we can
do, right? Files in our process folder
and master folder are doing nothing but
taking up drive space. Now, there are
some files in the process folder that
for good reason can be saved if you
wanted to, but again, this is a
beginner's video. That's more of an
intermediate to advanced type stuff. So
don't worry about it for now. So, just
to clean up, to save yourself some hard
drive space, you can delete your
process, your masters. You can delete
your star mask and your starless. And
unless you want to go back and practice
again with your result file, you could
actually delete that as well. And
that'll get you back to your lights,
flats, darks, and biases, right? Your
original files. Nothing has been changed
in here. They were just used to create
our result file. And then we have our
final rosette.fit. And again, the one
that we saved. So, as always, I hope
that's helpful for a lot of people,
especially if you're just starting off
with serial. I want to take this time
once again to say thank you to all my
members, both on YouTube and on buy a
coffee.com. And don't forget, if you're
already a member, you have free access
to the quick start guide that I put
together for this tutorial that we just
went through. Appreciate everybody's
time. We'll see you on the next one in
clear skies.
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