PDA

View Full Version here: : Sagittarius Ultra High Definition Mosaic 385MP


plantnerd
17-04-2016, 03:35 PM
New Wider Version of this image is a mosaic of over 250X 16 megapixel images taken with a 300mm equivalent lens 8.2 degrees FOV. The mosaic creates an ultra high definition wide field view of 33X23 degrees.
Original Image is 23000X16600 pixels or 385 Megapixels.
The image covers the region from Prawn Nebula IC4628 to the Eagle Nebula Messier 16 containing the famous Hubble's Pillars of Creation

This Image was captured from the dark skies of the Border Ranges Northern NSW Australia. Zuiko 150mm F2.0 Lens and Olympus OMD EM1 Camera on Ioptron Skytracker with no Autoguiding and manually moving camera between each frame.

Workflow was as follows: RAW conversion in Adobe Lightroom.
Stitching of mosaic in Kolor Autopano Giga.
Curves, Saturation, High Pass Sharpening, Colour Balance and Unsharp Mask in Photoshop CS6.

The second image attached is a crop of the Lagoon Nebula from the original mosaic to show the very high resolution of the original image.
197999

The same image with a description is also posted on Flickr Here
https://www.flickr.com/photos/plantnerd/25851777813/

Keep up the amazing work guys!

Atmos
17-04-2016, 05:22 PM
:eyepop:
I was hoping that there may be "clap" but that's all I've got.

Not willing to open up the higher res on my mobile but that is a serious undertaking and very nicely done :)

RickS
18-04-2016, 07:05 AM
That's very impressive, Luis! So much fascinating structure in all that dust.

Ross G
20-04-2016, 08:25 AM
Amazing photo Luis.

So much detail!

Ross.

Regulus
21-04-2016, 06:41 PM
That's superb Luis.
Well worth a look at the large image on Flickr (only 2048px Colin)

Trevor

plantnerd
21-04-2016, 09:15 PM
Thanks for the positive comments guys I have admired many of your posts. Watch this space, I am working on a much larger mosaic covering The Rosette Nebula through Carina and the LMC to the Eagle Nebula with 8Gigapixels.

Stitching the 2000 image mosaic is slow on my current workstation so I am building a high performance server from cheap second hand parts to crunch the massive dataset.