Home · Register · Search · View Winners · Software · Hosting · Software · Join Upload & Sell

Moderated by: Fred Miranda
Username   Password

FM Forum Rules
Landscape Posting Guidelines
  

FM Forums | Landscape Photographer | Join Upload & Sell

  

Archive 2013 · Tonight's Moon
  
 
480sparky
Offline
• •
Upload & Sell: Off
p.1 #1 · Tonight's Moon




Celestron 2000mm, using Field Flattener 0.63 (effectively a 1400mm f/6.3) Nikon D600, 17 raw images processed, then stacked.




May 24, 2013 at 05:07 AM
JimFox
Offline
• • • • • • •
Moderator
Upload & Sell: On
p.1 #2 · Tonight's Moon


Hey Ken,

What a super job here!

A question for you that's probably silly to you, but why would a shot like this need 17 stacked images? Why couldn't just one do? Are all 17 each underexposed? What are you doing with the stacking?

Jim



May 24, 2013 at 08:20 AM
480sparky
Offline
• •
Upload & Sell: Off
p.1 #3 · Tonight's Moon


If you ever really see the moon with strong enough optics, you'll see the result of the atmosphere 'boiling'. It looks like a coin at the bottom of a swimming pool.

One single frame will be so soft it looks like something was wrong (missed focus, lens out of alignment, etc.). By 'stacking' multiple images, you collect the sharpest portions of the individual frames into one image.

Single frame:



Stacked images:



I'm working on a 127-shot stack today.



May 24, 2013 at 12:31 PM
 

Search in Used Dept. 



Sunny Sra
Offline
• • • • • • •
Upload & Sell: On
p.1 #4 · Tonight's Moon


Nicely done!


May 24, 2013 at 04:26 PM
dgdg
Offline
• • • •
Upload & Sell: Off
p.1 #5 · Tonight's Moon


This blog gives a nice discussion on how to obtain lunar images.
http://www.luisargerich.com/blog?first=185775373
The video is impressive.



May 28, 2013 at 02:01 PM
harshaj1
Offline
• • • • • •
Upload & Sell: On
p.1 #6 · Tonight's Moon


Excellent shot.
dgdg-thanks for the link.
Harsha



May 28, 2013 at 05:03 PM





FM Forums | Landscape Photographer | Join Upload & Sell

    
 

You are not logged in. Login or Register

Username   Password    Retrive password