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- Resampling Images - PixInsight
The Resample process implements a general resampling procedure in PixInsight: given a source image, Resample generates a target image of the specified dimensions, with the help of a pixel interpolation algorithm
- Drizzle resample? | PixInsight Forum
Hey, I've seen in a lot of places that people recommend resample etc when using 2x drizzling I'm trying to understand how people actually do it because it seems to me like whenever I try it the whole point of drizzling just disappears
- PixInsight Drizzle Integration: Signal vs Noise, Noise Rendering . . .
Guide to noise rendering, signal vs noise, and resampling for PixInsight’s Drizzle Integration Process This appendix to the Drizzle Integration guide is a deep dive into noise and its relationship to resampling and rescaling with examples
- Resampling with PixInsight - Stargazers Lounge
Let DPI be print resolution, or number of dots per inch in both width and height There is simple relationship between the two above: image size in inches = display resolution DPI Resampling means changing display resolution of image, or number of sample points that image has (or pixels)
- How do you Rescale your DRIZZLE integration - PixInsight
When you create your drizzle integration, how do you rescale it back down to the native resolution for processing? Posted 15 January 2019 - 10:33 AM I just use the Resample tool, usually in Auto mode Sometimes, if I find auto is producing poor results, I will use Catmull-Rom
- Sizing Drizzled Files - Beginning Deep Sky Imaging - Cloudy Nights
Sizing Drizzled Files - posted in Beginning Deep Sky Imaging: Help me understand when, how (in PixInSight) and why to resample or resize my 2X drizzled files I enjoy the resolution but the file sizes are burdensome
- New DrizzleIntegration Tool Released - PixInsight Forum
The Variable-Pixel Linear Reconstruction [1] algorithm, better known as drizzle, was originally developed at the Space Telescope Science Institute to process Hubble Deep Field images Drizzle is an algorithm for the linear reconstruction of images from undersampled, dithered data
- Where when to downsample a drizzle inetgration - PixInsight Forum
One of the benefits of drizzle is that the PSF of the image is much better represented, and hence can be fitted with higher accuracy A more accurate PSF model used for deconvolution will always give better results This can also be true even for well sampled or slightly oversampled images
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