AstroGallery

Image Processing Example: m8 (Lagoon Nebula)

Step-by-step processing of m8, from raw frames to finished image. Click images to enlarge.

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Step 0: Images ready to process

These image files were taken with an Optical Guidance Systems 32" Ritchey-Chretien telescope and SBIG STL-11000m camera, from very dark and transparent skies in northwestern Arizona.

The raw files have been calibrated (Dark Subtracted, Flat Fielded, Hot/Cold Pixels removed), and aligned with each other.

These files are available for download if you wish to follow along or try your own processing.

Step 1: Luminance File

Luminance file: Stack of 26 sub-frames, 1 min each, unbinned, SBIG Clear filter.
Luminance

Step 2: Hydrogen-Alpha File

Hydrogen-Alpha file: Stack of 5 sub-frames, 15 min each, unbinned, Astrodon H-alpha filter.
Hydrogen-Alpha

Step 3: Red, Green, Blue Files

Red, Green, Blue files: Each is a stack of 9 sub-frames, 1 min each, unbinned, through respective filters.
Red Green Blue

Step 4: Deconvolution (CCDSharp)

Use CCDSharp to perform 3-iteration Richardson-Lucy Deconvolution on Luminance and H-alpha frames.
Learn more about this step.
Luminance Deconvolved H-alpha Deconvolved

Step 5: Non-Linear Stretch (MaxIm DL)

Use MaxIm DL to apply Non-Linear Stretch (DDP) to Luminance, H-alpha, and RGB frames.
Learn more about DDP.
Luminance DDP H-alpha DDP RGB DDP

Step 6: Color Combine (MaxIm DL)

Combine R, G, B frames in MaxIm DL. Adjust color mixing ratios and background equalization as needed.
RGB Combine RGB Pre-Stretch

Step 7: Photoshop Merge & Finishing

Merge Luminance and H-alpha in Photoshop using Lighten blend mode. Flatten layers, then use Inverted Layer Mask and Gaussian Blur to reduce background noise. Repeat for RGB as needed.
Learn more about Inverted Layer Mask.
HaL Merge 1 HaL Merge 2 HaL Merge 3 HaL Merge 4

Step 8: Final Noise Reduction

Use Inverted Layer Mask and Gaussian Blur to reduce noise in both HaL and RGB images. Adjust Levels as needed for best results.
HaL Noise 1 HaL Noise 2 HaL Noise 3 HaL Noise 4 HaL Noise 5 HaL Noise 6 RGB Noise 0 RGB Noise 1 RGB Noise 2 RGB Noise 3 RGB Noise 4