I should have explained compression while I was at it. Compression is the technique of replacing commonly repeating patterns with indicator codes, so, in a non real example, you could replace the word "the", with the number "1", as the word "the" appears often, reducing 3 characters to 1, saves space. In reality, the patterns are often dynamically calculated and stored as a table. There are two types of compression lossy and non lossy. In non lossy, you have to maintain the original content verbatim. In lossy environments, such as photography, you can replace an area of approximately the same colour red, with a pattern, or mask, that describes the approximate colour and area of similar colour. So a lot of pixels get replaced by a simple vector area description and colour palette number.

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Here what I have in mind : Capture >Normalize >fingerprint >Hash Capture : photon, scan , microscope , any object Normalise : fix lightning , scan , edit , crop so two captured Look alike Fingerprint ; extract the uncloneable features into small size byte string Hash and anchor : SHA 256 , then published it as Nostr event or open time stamp proof The only questions remains is : Rust or Tyoe script ? Say the name and I working on it
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