THESE STEPS ARE OPTIONAL 1. Equalise all colour channels 2. Seperate with ChannelExtraction 3. Apply ABE or DBE to each image (Start with one with most nebulosity) and then save a 'new instance' and apply this to all channels) 4. Recombine images with Channel Combination
1. Create multiple previews that cover background & dim structures. (Ignore high signal areas) - For Layer 1 a threshold of 3.0 - 5.0 is normal - It's best to increase number of iterations rather than the amount. - Apply the process to each preview or use a Real-Time Preview. 2. Click the 'Preview Mask' box to ensure that the mask is protecting all high signal areas (coloured black) 3. For the Target you can: - Do one pass with 'RGB/K components' selected. OR - Do one pass with 'Chrominance' selected, using agressive settings. - Do one pass with 'Luminance' selected, using more reserved settings. ***To define which Target option you need to check the chrominance part of the image to determine how much noise exists.
0.25,0.5,0.25,0.5,1,0.5,0.25,0.5,0.25 0.5,1,0.5 0.5,1,0.5 0.8003,0.2729,0.1198,0.0578,0.0287,0.0143,0.0072,0.0036,0.0019,0.001 Linear Interpolation (3) *** INSIDE PIXINSIGHT METHDO *** Default Sample Radius - 5 is OK for sampling inside tight star fields, increase this if the stars are further apart. Samples Per Row - No more than 5-7. Minimum Sample Weight - If required, lower this value until all required samples are white. - You can also increase tolerance to turn samples white. LESS IS MORE, DON'T GO FOR TOO MANY SAMPLE POINTS *** LIGHT VORTEX METHOD *** Tolerance - Miniumum 0.5 - 1.0 to 1.5 if too many samples are red Default Sample Radius - 10 to 15 Samples per row - 15 Minimum Sample Weight - 0.1 *** SPECIAL TECHNIQUE *** 1. Download high resolution image of target from 'Digitised Sky Survey'. 2. Register this against my stacked image. 3. Place sample points on downloaded image then apply this to the stacked image.
For multiple filters you can create a 'New instance' of this using the blue triangle to drop on the desktop then apply it by dropping them over each opened integrated image to crop them all identically. This process will be each image is identically cropped and therefore still aligned. This is best used for photos with no nebulosity, or perhaps little nebulosity. 1. Create preview in background area with no stars or nebulosity. 2. Select this preview as your reference image. 3. If required you can combine multiple previews using the 'PreviewAggregator' script. 4. Open the chosen preview and press 'Alt + N' to enable 'Readout Mode'. 5. Hover the cursor over the preview and find the highest value for any of the channels. 6. Adjust the upper value to be slightly above the value in Step 4 e.g. 0.010 1. For the white preview: - Structure Detection enabled, select an area with a number of stars. - Structure Detection disable, select an area with a galaxy in the centre (under the red X). 2. For the background preview: - Use the same preview from Background Neutralisation. - Apply background neutralisation to it BEFORE use. - USe the same upper limit figure as you used in Background Neutralisation. Use Default settings for normal use, to remove green tint. For images that contain the authentic teal colour of supernova remnants and planetary nebulae change the Protection method to Maximum Neutral. 1. Extract Lightness image from original using 'ChannelExtraction'. 2. Create a preview which includes various star sizes GUIDELINES - If noise or other non-stellar structures are included, raise the 'Noise threshold'. - If large stars are not included, raise the 'Scale' amount. - If needed, raise the 'Shadows' slider to further restrict selection to bright stars. - Lowering 'Truncation' will also provide a stronger result. - Deselect galactic cores using the Clonestamp process (Ch 17) or by adjusting the 'Midtones' slider further. - Structure Growth > Lower 'Large-scale' to make large stars smaller, increase for the opposite effect. > Lower 'Small-scale' to make small stars smaller, increase for the opposite effect. - Midtones > Raise to exclude dim stars > Lower to include dim stars 1. Pick stars surrounding the areas of interest until around 120 entries appear in the table. 2. Sort list with increasing levels of MAD. 3. Generate a PSF model using the best ~50 stars using 'Export synthetic PSF'. - Try to find around 50 stars (for a mono image) grouped as close together, at the lowest values of MAD, as possible. 4. Select all rejected stars and use the 'Remove' button at the bottom. 5. Select all the remaining stars, and click the Camera icon to generate a PSF.
M8_Ha
1. Clone the original image. 2. Rename is 'deconv_mask' 3. Apply a HistogramTransformation stretch based on the STF Auto-stretch. 1. Clone deconv_mask and rename it 'nr_mask'. 2. Apply this HDRMultiscaleTransform process to the deconv_mask 3. Clone the deconv_mask and rename it 'tmp' 0.0001,0.003162,0.01,0.003162,0.0001,0.003162,0.1,0.316228,0.1,0.003162,0.01,0.316228,1,0.316228,0.01,0.003162,0.1,0.316228,0.1,0.003162,0.0001,0.003162,0.01,0.003162,0.0001 0.01,0.316228,1,0.316228,0.01 0.01,0.316228,1,0.316228,0.01 Gaussian (5) 1. Apply this process to the tmp image. This step increases the contrast of an image for several different structure sizes. I like to use the LocalHistogramEqualization tool for larger scales and the MultiscaleMedianTransform for smaller scales. Apply this process to the tmp image.
1. Apply this PixelMath process to the deconv_mask image. 1. If you find that the deconvolution isn't strong enough apply this process to the deconv_mask image before using it. I wasn't get very much deconvolution effect so I stretched the deconv_mask to make it slightly more permissive. Apply to the deconv_mask image.