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Background: This question is largely inspired by one of the answers in: What limits the size of digital imaging sensors?

So the answer mentions uber-large image sensors that are made by "quilting" or "tiling" smaller CMOS sensors in a single silicon. Now, I've seen quite a few astronomy images that uses this kind of humongous sensor.

One of the example image is this: enter image description here

Question: How can you eliminate the horizontal and vertical strips of missing photo? Is this kind of thing even possible or the astrophotography photos are heavily photo shopped?

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  • \$\begingroup\$ What is the source of that image?? \$\endgroup\$
    – Digital Lightcraft
    Commented Jun 29, 2015 at 15:15
  • \$\begingroup\$ @DigitalLightcraft pan-starrs.ifa.hawaii.edu/public/design-features/cameras.html \$\endgroup\$
    – legokangpalla
    Commented Jun 30, 2015 at 2:23
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    \$\begingroup\$ If you move on to the "Data Handling" page in the above link, it states: "The images from the four cameras are then compared with each other to remove spurious effects such as cosmic rays, gaps between CCD cells, and bad pixels, and a composite image is calculated based on the four subimages and corrected for measured variations in atmospheric seeing." \$\endgroup\$
    – Digital Lightcraft
    Commented Jun 30, 2015 at 8:34

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How to do it will depend on the width of the lines. Narrow ones, for "pretty picture" purposes can be healed by using basic nearest neighbour calculations. (Obviously this can't be used for scientific analysis of the raw data!)

Phase One, in some of their earlier sensors, had "bad pixel columns", which appear as a thin black line in the resultant images if not corrected. They "heal" these in software using weighted nearest neighbour calculations.

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