B33/NGC 2024 - The Horshead and Flame Nebula - Dec 2025 Image Processing Walkthrough.

December 17, 2025

My 2025 image of Barnard 33 nd NGC 2024

🔭 Project Summary

Target: B33 – The Horsehead Nebula (with NGC 2024 – The Flame Nebula)

Capture Dates: October 27 & 28, 2025

Constellation: Orion • Distance: ≈ 1,300–1,500 light-years

Type: Dark Nebula (B33) silhouetted against emission backdrop (IC 434) + Emission Nebula / H II Region (NGC 2024)

Imaging Period: October 27–28, 2025 • Total Integration: 5 h 59 m 30 s (LRGB + Ha)

Filters: L · R · G · B (ZWO 36mm Unmounted LRGB Gen II) + Ha (Astronomik 36mm 6 nm)

Telescope: William Optics FLT 132mm f/7 APO Refractor + P-FLAT7A 0.8× Reducer

Camera: ZWO ASI2600MM-Pro (−15 °C; Gain 0 LRGB, Gain 100 Ha)

Mount: iOptron CEM60 on custom steel pier

Processing: PixInsight & Photoshop

Location: Whispering Skies Observatory · Honeoye Falls, NY (USA)

Field Includes: IC 431, IC 432, IC 435, LBN 934, LBN 944, LBN 958, LBN 962


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    Special Note

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    Abbreviations Used

    BXT BlurXTermminator by RC-Astro

    CC Cosmetic Correction

    CT Curves Transformation Process

    DBE Dynamic Background Extraction Process

    ET Exponential Transformation

    HDRMT HDR MultiScale Transform

    HDRC HDR Composition

    NXT NoiseXTerminator by RC-Astro

    MLT Multiscale Linear Transform

    PI PixInsight

    PS Photoshop

    SCNR Subtractive Chromatic Noise Reduction Process

    SFS SubFrameSelector

    SPCC SpectroPhotometric Color Calibration

    STF Screen Transfer Function

    STF->HT method – Drag the STF triangle to the base of HistogramTransformation, then apply it to the image to take it nonlinear.

    SXT StarXTerminator by RC-Astro

    WBPP Weighted Batch Preprocessing Script

    Summary:

    M42/43 HDR HaLRGB Processing Flow

    Two-column swimlane summary aligned to your M42 2025 PixInsight → Photoshop sequence.

    Shared upstream steps
    1. Blink
    3. WBPP 2.8.9 Calibrate • Register • Integrate
    4. Load / Rename Masters Build RGB 30s & 90s color images
    Luminance & Ha Detail Lane Structure / contrast
    5. Linear L processing DBE (subtractive) → BXT → NXT v3 → SXT (no star save)
    6. Linear Ha processing PFSImage → BXT → LinFit to L → SXT (no star save)
    10. Go nonlinear (L + Ha) STF → HT
    11. Nonlinear L starless refinement CT → HDRMT → LHE → NXT → MLT
    12. Nonlinear Ha starless refinement CT → HDRMT → LHE
    13. Blend Ha + L PixelMath ~50/50 → CT/HDRMT/LHE → NXT
    RGB Color & Star Lane Color / stars
    7. RGB 90s linear prep DBE → SPCC → BXT
    8. RGB 30s linear prep DBE → SPCC → BXT → SXT (save RGB stars)
    9. Linear RGB HDR HDRCombination → NXT v3 → SXT (no star save)
    10. RGB HDR nonlinear STF → HT
    10. RGB stars nonlinear Seti Astro Star Stretch (from saved RGB stars)
    14. RGB HDR refinement + masks Core/Range/Red/Blue masks → HDRMT + CT
    Merge & finish
    14. Inject HaL into RGB HDR Mask-controlled integration
    15. Add stars back ScreenStars using saved RGB stars
    16. Photoshop final Global polish • output variants

    Processing this Image

    (All Processing is done in PixInsight, with some final touches done in Photoshop)

    1. Blink

    I screened all subs and cal frames with Blink. I was surprised that I did not remove ANY frames collected for this image.

    2. WBPP 2.8.9

    All frames were loaded into WBPP:

    • Reset everything

    • Load all lights

    • Load all flats

    • Load all darks

    • Select - maximum quality

    • Reference Image - auto - the default

    • Select the output directory for the WBPP folder

    • Enable CC for all light frames

    • Pedestal value - auto

    • Darks - set exposure tolerance to 0

    • Lights - set exposure tolerance to 0

    • Lights - all set except for a linear defect

    • set for Autocrop

    • I chose NOT to use Drizzle processing.

      WBPP run in 1:01:14 minutes - no errors

    WBPP Calibration View

    WBPP Post Calibration View

    WBPP Pipeline View

    3. Load Master Images and Create Color Images

    • Load all master images and rename them.

      • Master Ha -300-seconds

      • Mater LRGB-90-seconds

    • Using CombineChannels, create the Master RGB 30-second and the Master RGB 90-second color images

    Master L, R, G, B 90-second images

    Master_Ha image. (click to enlarge)

    Master RGB 90-second image (click to enlarge)

    4. Initial Process of Linear Lum data

    • Run DBE for the Lum linear image. Use subtraction for the correction method. Choose a sampling plan that avoids the nebulae and bright stars. (see below)

    • Run BXT - Correct only. This cleans up the stars at the corners. Not much to do in this image, as the scope is very crisp.

    • Run PFSImage script to measure star sizes.  X = 2.67  Y= 2.43. This will influence the values used in BXT.

    • Run Full BXT - I am using an enhanced set of values to shrink stars more. These are about a third more than the measured star sizes. See the BXT Panel Snapshot below.

    • Run NXT V3; refer to the parameters in the snapshot below.

    • Run SXT - no need to save the Lum stars, as we will not be using them.

    Master L Image DBE Sampling Plan (click to enlarge)

    Master L- Before DBE (click to enlarge)

    Master L after DBE (click to enlarge)

    Background Subtracted by DBE (click to enlarge)


    Measuring Star Sizes with PFSImage Script (click to enlarge)

    BXT Settings Used. (click to enlarge)

    NXT Panel used. (click to enlarge)


    Master Lum Before BXT Correct Only, After BXT Correct Only, After BXT Full, After NXT


    Final Master Lum Image

    Master Lum Starless Image (click to enlarge)

    5. Initial Process of Linear Ha data

    • Run DBE for the Lum linear image. Use subtraction for the correction method. Choose a sampling plan that avoids the nebulae and bright stars. (see below)

    • Run the PFSImage script to measure star sizes.  X = 2.35, Y 2.17. This will influence the values used in BXT.

    • Run BXT Correct Only

    • Run Full BXT using the parameters in the screen snapshot below.

    • Run NXT V3; refer to the parameters in the snapshot below.

    • Run SXT - no need to save the Lum stars, as we will not be using them.

    • I want to combine the Ha and L data later on, so I ran a LinFit here, using the L as the reference.

    • Finally, I ran SXT to remove stars, but I did not preserve the stars - I will not be using the Ha stars going further.

    Master Ha Sampling Plan (click to enlarge)

    Master Ha Before DBE (click to enlarge)

    Master Ha after DBE (click to enlarge)

    Master Ha Background (click to enlarge)

    PFSImage measuring star sizes on the Ha Master

    BXT Params used

    NXT Params used.


    HA Before BXT, After BXT Fix Only, After BXT Full, After NXT V3


    Master Ha before SXT (click to enlarge)

    Master Ha Starless image (click to enlarge)

    6. Process the RGB Masters

    • Run DBE using Subtractive correction

    • Select a background preview and run SPCC on the image

    • Run BXT - Correct only. This cleans up the stars at the corners. Not much to do in this image, as the scope is very crisp.

    • Run PFSImage script to measure star sizes.  X = 2.57  Y= 2.2. This will influence the values used in BXT.

    • Run Full BXT - I am using an enhanced set of values to shrink stars more. These are about a third more than the measured star sizes. See the BXT Panel Snapshot below.

    • Run NXT - see params used in screenshot below

    • Run SXT and save Star images.

    Master RGB 90sec Sampling Plan (click to enlarge)

    Master RGB 90sec before DBE (click to enlarge)

    Master RGB 90 sec after DBE (click to enlarge)

    Master RGB Background removed (click to enlarge)

    Master RGB 90-second before SPCC(click to enlarge)

     

    SPCC Panel showing parameters used.

    SPCC Regression results.

    Master RGB after SPCC.

    PFSImage panel showing star sizes.

    BXT Panel showing parameters used.

    NXT Params used.


    Master RGB Master Before BXT, BXT Correct Only, Full BXT, After NXT Full


    Master RGB before SXT.

    Master RGB Starles Image

    Master RGB Stars only image.

    7. Go Nonlinear

    • Using the STF->HT Method, convert the linear Lum and Ha images to nonlinear. Remember that we did a LinearFit of the Ha to the L image, so use the STF when doing this.

    • Using the STF->HT Method, take the linear RGB image nonlinear.

    • Using Seti Astro Star Stretch, take the RGB Star image nonlinear. (See Panel snapshot below for parameters used).

    Nonlinear Starting Lum Image (click to enlarge)

    Nonlinear RGB image (click to enlarge)

    The nonlinear RGB HDR image.

    The Star Stretch Script and parameters used.

    The resulting Star image

    8. Process the Nonlinear Lum Starless Image

    • Use CT to lighten the outer tenuous nebulae and darken the core a bit

    • Apply HDRMT with 9 layers and “To Lightness” checked. This will open up blocked highlights. I tried various levels, but 7 seems best.

    • Apply CT

    • Apply LHE with a scale of 64, a contrast limit of 2.0, an amount of 0.1, and an 8-bit histogram. This is designed to enhance small-scale structures.

    • Apply LHE with a scale of 200, a contrast limit of 2.0, an amount of 0.1, and a 10-bit histogram. This is designed to enhance medium-scale structures.

    • Apply NXT V3 now (see parameters in the screenshot below).

    • Now do a final sharpening operation with MLT - see the screenshot below.

    The initial L image (click to enlarge).

    HDRMT applied (click to enlarge)

    After LHE - Small Scale (click to enlarge)

     

    NXT Params used (click to enlarge)

    After CT (click to enlarge)

    After CT (click to enlarge)

    After LhE - Medium Scale (click to enlarge)

    Apply NXT V3 (click to enlarge)

     

    MLT Sharpening Panel

     

    After MLT Sharpening run (click to enlarge)

    9. Process the Nonlinear Ha Starless Image

    • Use CT to darken the outside and darken the core a bit.

    • Apply HDRMT with 7 layers and “To Lightness” checked. This will open up blocked highlights. I tried various levels, but 7 seems best.

    • Apply CT to adjust the tonescale after the previous step.

    • Apply LHE with a scale of 222, a contrast limit of 2.0, an amount of 0.10, and a 10-bit histogram. This is designed to enhance medium-scale structures.

    • Apply MLT Shaprening with params shown in the screensnap below.

    Iniital Nonlinear Ha image(click to enlarge)

    After HDRMT (click to enlarge)

    After CT (click to enlarge)

    After CT (click to enlarge)

     

    After LHE Mid-scale (click to enlarge)

    MLT Sharpen Parameters

    After Sharpening.

    10. Combine L and Ha image, and Process

    • Use PixelMath to blend the HA and L image. I tried different blend rates:

      • 10% L - 90% Ha

      • 25% L - 75% Ha

      • 50% L - 50% Ha

      • I chose the second mix.

    • Adjust with CT

    • Create a GAME gradient mask that covers the Flame and the bright nebula near the Flame - call this the LHaMask

    • Apply HDRMT with the LHAMask. Use 7 layers and check “To Lightness”. This will open up blocked highlights.

    • Apply CT with the LHaMask

    • Use the RGBWOrkingSpace Panel to set the RGB coefficients to 1.0. We don’t want color scaling for future operations.

     

    PM Blend example equation

     

    10% L - 90 % Ha Blend (click to enlarge)

    25% L - 75% Ha Blend (click to enlarge)

    50% L - 50% Ha Blend (click to enlarge)

    The Blended HaL image. (click to enlarge)

    LHA Mask (click to enlarge)

    CT Aplied with the LHA Mask in place (click to enlarge)

    After CT (click to enlarge)

    After HDRMT wIth the LHAMask (click to enlarge)

    Set RGBWorkingSpace coeffcients to 1.0.

    14. Process the RGB Image

    • Let's create some masks that we will be using with this image:

      • Use GAME to create the CoreMask. This gradient ellipse will be used to lighten the Trapezium area.

      • Use RangeSelection to create a RangeMask using:

        • Range of 0.5 to 0.8

        • Smoothness of 5

      • Create a Red ColorMask with the params in the snapshot below.

      • Use CT to boost it.

      • Create a Blue ColorMask using the parameters shown in the screenshot below.

      • Use CT to boost it.

    • Let’s start by dealing with those blown-out highlights. Apply HDRMT with levels = 8, “To Lightness’ and ‘Lightness mask’

    • Apply CT to adjust contrast and color saturation.

    • Apply the Inverted CoreMask and do a CT to darken the Trapezium area slightly

    • Now we want to inject the HaL image. The core area is already saturated, so we want to protect it before we apply this. So:

      • Apply the RangeMask

      • This will protect the core area

      • Use ChannelCombination in the ColorMode and enable only the Neutral channel, using the HaL Image.

      • Apply to the RGB HDR image.

    • The masked Area now seems too light. Let's invert the RangeMask and use CT to bring it in line.

    • Let’s try to bring out more detail in the RangeMask Area. Run HDRMT with the mask in place, and use Levels=10, ‘To Lightness.’

    • Now apply the Red Mask and use CT to adjust color, saturation, and tone.

    • Now apply the Blue Mask and use CT to adjust color, saturation, and tone.

    • Apply a final CT with no Mask.

    • Now I would like to ‘polish’ this starless image in Photoshop. Specifically, I want to use the Camera Raw Effects filters for Texture, Clarity and Dehaze filter, along with the colormixer.

      • Write the RGB HDR image to a 16-bit unsigned TIFF file

      • Pull into Photoshop and polish

      • Export to a new 16-bit unsigned TIFF file

      • Bring this back into PixInsight

    The Core Mask (click to enlarge)

    Params used to create the Red Mask

    Params used to create the Blue Mask

    The initial RGB HDR image (click to enlarge)

    After CT (click to enlarge)

    After Injecting the HaL image using the Inverted RangeMask (click to enlarge)

    After HDRMT of the RangeMask area (click to enlarge)

    After CT with the Blue Mask (click to enlarge)

    The RangeMask

    Initial Red Mask (click to enlarge)

    After boosting with CT (click to enlarge)

    Initial Blue Mask (click to enlarge)

    BlueMask after CT boost (click to enlarge)

    After HDRMT (click to enlarge)

    CT with the Inverted Core Mask

    After CT adjust with the RangeMask (click to enlarge)

    After CT with the Red Mask (click to enlarge)

    After A final CT with no Mask - Export this to Photoshop (click to enlarge)

    Final Starless Image after Photoshop polish.

    15. Add the Stars Back In

    • Using the ScreenStars Script, add stars back into our RGB starless image.

    The script used to add the images back in,

    Stars now added - Image ready for Photoshop Polishing!

    16. Export the Image to Photoshop for Polishing

    • Save the image as a TIFF 16-bit unsigned and move to Photoshop

    • Make final global adjustments with Clarify, Curves, and the Color Mixer - slight tweaks really

    • Added Watermarks

    • Export Clear, Watermarked, and Web-sized JPEGs.

    The Final Image!

    The First Cropped Image


    Back to M42/43 - The Great Orion Nebula Page

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    Thanks,

    Pat

    Patrick A. Cosgrove

    A retired technology geek leveraging his background and skills in Imaging Systems and Computers to pursue the challenging realm of Astrophotography. This has been a fascinating journey where Art and Technology confront the beauty and scale of a universe that boggles the mind…. It’s all about capturing ancient light - those whispering photons that have traveled long and far….

    https://cosgrovescosmos.com/
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    Messier 42/43 - The Great Orion Nebula - Dec 2025 Image Processing Walkthrough.